René's URL Explorer Experiment


Title: jenetics (Franz Wilhelmstötter) · GitHub

Open Graph Title: jenetics - Overview

X Title: jenetics - Overview

Description: Java, Kotlin, Messaging, Web services, Distributed systems, API design, Architectures, Partial stack developer - jenetics

Open Graph Description: Java, Kotlin, Messaging, Web services, Distributed systems, API design, Architectures, Partial stack developer - jenetics

X Description: Java, Kotlin, Messaging, Web services, Distributed systems, API design, Architectures, Partial stack developer - jenetics

Opengraph URL: https://github.com/jenetics

X: @github

direct link

Domain: github.com

route-pattern/:user_id(.:format)
route-controllerprofiles
route-actionshow
fetch-noncev2:36e0acb5-dfe2-0d20-19c0-fc0a79fb7d33
current-catalog-service-hash4a1c50a83cf6cc4b55b6b9c53e553e3f847c876b87fb333f71f5d05db8f1a7db
request-id9E88:36D363:903EF6:C733E9:6964C86F
html-safe-noncec9df369b61e86a9acd5ae074fe1ec9f7bb24ea0ac8aa5541a1e50309734adfab
visitor-payloadeyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiI5RTg4OjM2RDM2Mzo5MDNFRjY6QzczM0U5OjY5NjRDODZGIiwidmlzaXRvcl9pZCI6IjkxOTIwNTY3Mjc2OTMyMTU4NTUiLCJyZWdpb25fZWRnZSI6ImlhZCIsInJlZ2lvbl9yZW5kZXIiOiJpYWQifQ==
visitor-hmac7c781e63857941799b3803f23bcf8c48ee22977ecc73da6261c9ca4bdec1fb28
github-keyboard-shortcutscopilot
google-site-verificationApib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I
octolytics-urlhttps://collector.github.com/github/collect
analytics-location/
fb:app_id1401488693436528
apple-itunes-appapp-id=1477376905, app-argument=https://github.com/jenetics
twitter:imagehttps://avatars.githubusercontent.com/u/1509203?v=4?s=400
twitter:cardsummary
og:imagehttps://avatars.githubusercontent.com/u/1509203?v=4?s=400
og:image:altJava, Kotlin, Messaging, Web services, Distributed systems, API design, Architectures, Partial stack developer - jenetics
og:site_nameGitHub
og:typeprofile
profile:usernamejenetics
hostnamegithub.com
expected-hostnamegithub.com
None5838582163a1256e5ebd5086b7e1dc5cea93d82086c9c8b1395fb50f6ddab28d
turbo-cache-controlno-preview
octolytics-dimension-user_id1509203
octolytics-dimension-user_loginjenetics
turbo-body-classeslogged-out env-production page-responsive page-profile
disable-turbofalse
browser-stats-urlhttps://api.github.com/_private/browser/stats
browser-errors-urlhttps://api.github.com/_private/browser/errors
release8f997e7f84bd1db9537ba403fa68be0da3423594
ui-targetfull
theme-color#1e2327
color-schemelight dark

Links:

Skip to contenthttps://github.com/jenetics#start-of-content
https://github.com/
Sign in https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fjenetics
GitHub CopilotWrite better code with AIhttps://github.com/features/copilot
GitHub SparkBuild and deploy intelligent appshttps://github.com/features/spark
GitHub ModelsManage and compare promptshttps://github.com/features/models
MCP RegistryNewIntegrate external toolshttps://github.com/mcp
ActionsAutomate any workflowhttps://github.com/features/actions
CodespacesInstant dev environmentshttps://github.com/features/codespaces
IssuesPlan and track workhttps://github.com/features/issues
Code ReviewManage code changeshttps://github.com/features/code-review
GitHub Advanced SecurityFind and fix vulnerabilitieshttps://github.com/security/advanced-security
Code securitySecure your code as you buildhttps://github.com/security/advanced-security/code-security
Secret protectionStop leaks before they starthttps://github.com/security/advanced-security/secret-protection
Why GitHubhttps://github.com/why-github
Documentationhttps://docs.github.com
Bloghttps://github.blog
Changeloghttps://github.blog/changelog
Marketplacehttps://github.com/marketplace
View all featureshttps://github.com/features
Enterpriseshttps://github.com/enterprise
Small and medium teamshttps://github.com/team
Startupshttps://github.com/enterprise/startups
Nonprofitshttps://github.com/solutions/industry/nonprofits
App Modernizationhttps://github.com/solutions/use-case/app-modernization
DevSecOpshttps://github.com/solutions/use-case/devsecops
DevOpshttps://github.com/solutions/use-case/devops
CI/CDhttps://github.com/solutions/use-case/ci-cd
View all use caseshttps://github.com/solutions/use-case
Healthcarehttps://github.com/solutions/industry/healthcare
Financial serviceshttps://github.com/solutions/industry/financial-services
Manufacturinghttps://github.com/solutions/industry/manufacturing
Governmenthttps://github.com/solutions/industry/government
View all industrieshttps://github.com/solutions/industry
View all solutionshttps://github.com/solutions
AIhttps://github.com/resources/articles?topic=ai
Software Developmenthttps://github.com/resources/articles?topic=software-development
DevOpshttps://github.com/resources/articles?topic=devops
Securityhttps://github.com/resources/articles?topic=security
View all topicshttps://github.com/resources/articles
Customer storieshttps://github.com/customer-stories
Events & webinarshttps://github.com/resources/events
Ebooks & reportshttps://github.com/resources/whitepapers
Business insightshttps://github.com/solutions/executive-insights
GitHub Skillshttps://skills.github.com
Documentationhttps://docs.github.com
Customer supporthttps://support.github.com
Community forumhttps://github.com/orgs/community/discussions
Trust centerhttps://github.com/trust-center
Partnershttps://github.com/partners
GitHub SponsorsFund open source developershttps://github.com/sponsors
Security Labhttps://securitylab.github.com
Maintainer Communityhttps://maintainers.github.com
Acceleratorhttps://github.com/accelerator
Archive Programhttps://archiveprogram.github.com
Topicshttps://github.com/topics
Trendinghttps://github.com/trending
Collectionshttps://github.com/collections
Enterprise platformAI-powered developer platformhttps://github.com/enterprise
GitHub Advanced SecurityEnterprise-grade security featureshttps://github.com/security/advanced-security
Copilot for BusinessEnterprise-grade AI featureshttps://github.com/features/copilot/copilot-business
Premium SupportEnterprise-grade 24/7 supporthttps://github.com/premium-support
Pricinghttps://github.com/pricing
Search syntax tipshttps://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax
documentationhttps://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax
Sign in https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fjenetics
Sign up https://github.com/signup?ref_cta=Sign+up&ref_loc=header+logged+out&ref_page=%2F%3Cuser-name%3E&source=header
Reloadhttps://github.com/jenetics
Reloadhttps://github.com/jenetics
Reloadhttps://github.com/jenetics
Followhttps://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fjenetics
Overview https://github.com/jenetics
Repositories 12 https://github.com/jenetics?tab=repositories
Projects 0 https://github.com/jenetics?tab=projects
Packages 0 https://github.com/jenetics?tab=packages
Stars 98 https://github.com/jenetics?tab=stars
Overviewhttps://github.com/jenetics
Repositorieshttps://github.com/jenetics?tab=repositories
Projectshttps://github.com/jenetics?tab=projects
Packageshttps://github.com/jenetics?tab=packages
Starshttps://github.com/jenetics?tab=stars
Followhttps://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fjenetics
https://avatars.githubusercontent.com/u/1509203?v=4
Followhttps://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fjenetics
105 followers https://github.com/jenetics?tab=followers
15 following https://github.com/jenetics?tab=following
https://jenetics.iohttps://jenetics.io
@jeneticsgahttps://twitter.com/jeneticsga
@jeneticsga@mastodon.socialhttps://mastodon.social/@jeneticsga
Achievementshttps://github.com/jenetics?tab=achievements
https://github.com/jenetics?achievement=yolo&tab=achievements
x3https://github.com/jenetics?achievement=starstruck&tab=achievements
https://github.com/jenetics?achievement=arctic-code-vault-contributor&tab=achievements
x3https://github.com/jenetics?achievement=pull-shark&tab=achievements
Achievementshttps://github.com/jenetics?tab=achievements
https://github.com/jenetics?achievement=yolo&tab=achievements
x3https://github.com/jenetics?achievement=starstruck&tab=achievements
https://github.com/jenetics?achievement=arctic-code-vault-contributor&tab=achievements
x3https://github.com/jenetics?achievement=pull-shark&tab=achievements
blocking usershttps://docs.github.com/articles/blocking-a-user-from-your-personal-account
reporting abusehttps://docs.github.com/articles/reporting-abuse-or-spam
Report abusehttps://github.com/contact/report-abuse?report=jenetics+%28user%29
Overview https://github.com/jenetics
Repositories 12 https://github.com/jenetics?tab=repositories
Projects 0 https://github.com/jenetics?tab=projects
Packages 0 https://github.com/jenetics?tab=packages
Stars 98 https://github.com/jenetics?tab=stars
Overviewhttps://github.com/jenetics
Repositorieshttps://github.com/jenetics?tab=repositories
Projectshttps://github.com/jenetics?tab=projects
Packageshttps://github.com/jenetics?tab=packages
Starshttps://github.com/jenetics?tab=stars
jeneticshttps://github.com/jenetics/jenetics
https://github.com/jenetics#jenetics
https://github.com/jenetics/jenetics/actions?query=branch%3Amaster
https://central.sonatype.com/artifact/io.jenetics/jenetics
http://www.javadoc.io/doc/io.jenetics/jenetics
Jenetics.Nethttps://github.com/rmeindl/jenetics.net
Helisahttps://github.com/softwaremill/helisa/
https://github.com/jenetics#documentation
javadochttps://jenetics.io/javadoc/combined/8.3/index.html
pdfhttp://jenetics.io/manual/manual-8.3.0.pdf
https://github.com/jenetics#build-jenetics
Gradlehttp://www.gradle.org/downloads
jeneticshttps://github.com/jenetics/jenetics/blob/master/jenetics
http://www.javadoc.io/doc/io.jenetics/jenetics
jenetics.exthttps://github.com/jenetics/jenetics/blob/master/jenetics.ext
http://www.javadoc.io/doc/io.jenetics/jenetics.ext
jenetics.proghttps://github.com/jenetics/jenetics/blob/master/jenetics.prog
http://www.javadoc.io/doc/io.jenetics/jenetics.prog
jenetics.xmlhttps://github.com/jenetics/jenetics/blob/master/jenetics.xml
http://www.javadoc.io/doc/io.jenetics/jenetics.xml
jenetics.distasserthttps://github.com/jenetics/jenetics/blob/master/jenetics.distassert
jenetics.examplehttps://github.com/jenetics/jenetics/blob/master/jenetics.example
jenetics.dochttps://github.com/jenetics/jenetics/blob/master/jenetics.doc
jenetics.toolhttps://github.com/jenetics/jenetics/blob/master/jenetics.tool
https://github.com/jenetics#example
https://github.com/jenetics#hello-world-ones-counting
https://github.com/jenetics#evolving-images
https://raw.githubusercontent.com/jenetics/jenetics/master/jenetics.doc/src/main/resources/graphic/EvolvingImagesExampleScreenShot.png
https://github.com/jenetics#projects-using-jenetics
SPEAR:https://spear-project.eu/
Renaissance Suite:https://renaissance.dev/
APP4MC:http://www.eclipse.org/app4mc/
https://github.com/jenetics#blogs-and-articles
Schachprobleme komponieren mit evolutionären Algorithmenhttps://dieschwalbe.de/schwalbeaktuell.htm
Solving the Knapsack Problem with the Jenetics Libraryhttps://craftcodecrew.com/solving-the-knapsack-problem-with-the-jenetics-library/
一种基于Jenetics的遗传算法程序设计http://www.fx361.com/page/2018/1126/4534731.shtml
Introduction to Jenetics Libraryhttp://www.baeldung.com/jenetics
How to Solve Tough Problems Using Genetic Algorithmshttp://blog.takipi.com/how-to-solve-tough-problems-using-genetic-algorithms/
Genetic algorithms with Javahttp://fxapps.blogspot.co.at/2017/01/genetic-algorithms-with-java.html
Jenetics 설치 및 예제http://jdm.kr/blog/135
유전 알고리즘 (Genetic Algorithms)http://jdm.kr/blog/104
https://github.com/jenetics#citations
Evolve On Click (EvOC) - An Intuitive Web Platform to Collaboratively Implement, Execute, and Visualize Evolutionary Algorithms.https://doi.org/10.1145/3712255.3726652
Evolve On Click (EvOC) - An Intuitive Web Platform to Collaboratively Implement, Execute, and Visualize Evolutionary Algorithms.https://doi.org/10.1145/3712255.3726652
Advanced Search Techniques for Determining Optimal Sequences of Adaptation Rules in Process-Oriented Case-Based Reasoning.https://doi.org/10.1007/978-3-031-96559-3_16
ELFuzz: Efficient Input Generation via LLM-driven Synthesis Over Fuzzer Space.https://arxiv.org/abs/2506.10323
Effective Task Scheduling based on Candidate Optimization Algorithm (COA) in Heterogeneous NoC-Based MPSoC.https://ieeexplore.ieee.org/abstract/document/11019139
RADiCe: A Risk Analysis Framework for Data Centers.https://doi.org/10.1016/j.future.2024.107702
Heuristic based federated learning with adaptive hyperparameter tuning for households energy prediction.https://doi.org/10.1038/s41598-025-96443-3
Evolving Financial Trading Strategies with Vectorial Genetic Programming.https://arxiv.org/pdf/2504.05418
Metaheuristics algorithms: Fundamental aspects and applications in optimization problems.https://doi.org/10.1016/B978-0-443-29162-3.00001-0
μOpTime: Statically Reducing the Execution Time of Microbenchmark Suites Using Stability Metrics.https://arxiv.org/abs/2501.12878
OBridging the Abstraction Gap: A Systematic Approach to Rule-Based Transformational Design for Embedded Systems.https://dl.acm.org/doi/pdf/10.1145/3714412
Open Source Evolutionary Computation with Chips-n-Salsa.https://arxiv.org/pdf/2412.02004
Towards a Heuristic Optimizer for a Target Time Management System in Air Traffic Flow Management.https://doi.org/10.1109/DASC62030.2024.10749250
Improvement of the Teaching Process Using the Genetic Algorithm.https://doi.org/10.1007/978-3-031-72393-3_7
NanoBioAccumulate: Modelling the uptake and bioaccumulation of nanomaterials in soil and aquatic invertebrates via the Enalos DIAGONAL Cloud Platform.https://doi.org/10.1016/j.csbj.2024.09.028
Multi-objective preference-free exact design space exploration of static DSP on multicore platforms.https://doi.org/10.1109/FDL63219.2024.10673877
Minimizing the EXA-GP Graph-Based Genetic Programming Algorithm for Interpretable Time Series Forecasting.https://doi.org/10.1145/3638530.3664173
EXA-GP: Unifying Graph-Based Genetic Programming and Neuroevolution for Explainable Time Series Forecasting.https://doi.org/10.1145/3638530.3654349
Using Genetic Algorithms for Privacy-Preserving Optimization of Multi-Objective Assignment Problems in Time-Critical Settings: An Application in Air Traffic Flow Management.https://doi.org/10.1145/3638529.3654128
Evolutionary Analysis of Alloy Specifications with an Adaptive Fitness Function.https://doi.org/10.1007/978-3-031-64573-0_1
EvoAl — Codeless Domain-Optimisation.https://agra.informatik.uni-bremen.de/doc/konf/gecco2024_cp.pdf
Finding the perfect MRI sequence for your patient --- Towards an optimisation workflow for MRI-sequences.https://agra.informatik.uni-bremen.de/doc/konf/cec2024_cp.pdf
GraalSP: Polyglot, efficient, and robust machine learning-based static profiler.https://doi.org/10.1016/j.jss.2024.112058
Coupling model predictive control and rules-based control for real-time control of urban river systems.https://doi.org/10.1016/j.jhydrol.2024.131228
Automatic Optimization of Tolerance Ranges for Model-Driven Runtime State Identification.https://ieeexplore.ieee.org/document/10499231
Evolutionary Computation: Theories, Techniques, and Applications.https://doi.org/10.3390/app14062542
On the suitability of checked coverage and genetic parameter tuning in test suite reduction.https://doi.org/10.1002/smr.2656
IDeSyDe: Systematic Design Space Exploration via Design Space Identification.https://doi.org/10.1145/3647640
Veni, Vidi, Evolvi commentary on W. B. Langdon’s “Jaws 30”.https://link.springer.com/article/10.1007/s10710-023-09472-0
Optimizing IaC Configurations: a Case Study Using Nature-inspired Computing.https://doi.org/10.48550/arXiv.2311.10767
Exploring Multi-core Systems with Lifetime Reliability and Power Consumption Trade-offs.https://doi.org/10.1007/978-3-031-46077-7_6
A Generic and Customizable Genetic Algorithms-based Conceptual Model Modularization Framework.https://model-engineering.info/publications/papers/EDOC23-GGMF-web.pdf
Generalized Coverage Criteria for Combinatorial Sequence Testing.https://doi.ieeecomputersociety.org/10.1109/TSE.2023.3279570
GPStar4: A flexible framework for experimenting with genetic programming.https://doi.org/10.1145/3583133.3596369
Leveraging Artificial Intelligence for Model-based Software Analysis and Design.https://doi.org/10.1007/978-981-19-9948-2_4
An Application of Evolutionary Algorithms and Machine Learning in Four-Part Harmonization.https://doi.org/10.1007/978-3-031-35995-8_16
Exploring Multi-core Systems with Lifetime Reliability and Power Consumption Trade-offs.http://admorph.eu/wp-content/uploads/2023/05/SAMOS_Dolly-2.pdf
Optimization of input parameters of ANN–driven plasma source through nature-inspired evolutionary algorithms.https://doi.org/10.1016/j.iswa.2023.200200
Privacy-Preserving Implementation of an Auction Mechanism for ATFM Slot Swapping.http://www.dke.jku.at/rest/dke_web_res/publications/papers/Schu23c/Schu23c_copy.pdf
Multi-Objective Search-Based Software Microbenchmark Prioritization.https://arxiv.org/abs/2211.13525
Bio-inspired optimization to support the test data generation of concurrent software.https://doi.org/10.1002/cpe.7489
An Efficiency of Third Party Genetic Algorithms Software Libraries in Mobile Distributed Computing for Financial Time Series Forecasting.https://doi.org/10.1109/ICAI55857.2022.9960128
Data types as a more ergonomic frontend for Grammar-Guided Genetic Programming.https://arxiv.org/abs/2210.04826
A Distributed Architecture for Privacy-Preserving Optimization Using Genetic Algorithms and Multi-party Computation.https://doi.org/10.1007/978-3-031-17834-4_10
Using density of training data to improve evolutionary algorithms with approximative fitness functions.https://www.informatik.uni-bremen.de/agra/doc/konf/cec2022_cp.pdf
Adapting mutation and recombination operators to range-aware relations in real-world application data.https://doi.org/10.1145/3520304.3529066
JGEA: a modular java framework for experimenting with evolutionary computation.https://doi.org/10.1145/3520304.3533960
EC-KitY: Evolutionary Computation Tool Kit in Python with Seamless Machine Learning Integration.https://arxiv.org/pdf/2207.10367.pdf
Using Metamorphic Relationships and Genetic Algorithms to Test Open-Source Software.https://doi.org/10.1109/eIT53891.2022.9813795
Checked Coverage for Test Suite Reduction – Is It Worth the Effort?https://ieeexplore.ieee.org/abstract/document/9796394
Evolving action pre-selection parameters for MCTS in real-time strategy games.https://doi.org/10.1016/j.entcom.2022.100493
Speech emotion recognition using optimized genetic algorithm-extreme learning machine.https://doi.org/10.1007/s11042-022-12747-w
Choosing the right technique for the right restriction - a domain-specific approach for enforcing search-space restrictions in evolutionary algorithms.https://www.informatik.uni-bremen.de/agra/doc/konf/LDIC2022Plump.pdf
Outpatient Appointment Optimization: A Case Study of a Chemotherapy Service.https://doi.org/10.3390/app12020659
Combinatorial Sequence Testing Using Behavioral Programming and Generalized Coverage Criteria.https://arxiv.org/pdf/2201.00522.pdf
D4.1 Report on State-ofthe-Art of Relevant Concepts.https://www.frequentis.com/sites/default/files/support/2021-12/D4.1%20Report%20on%20State-of-the-Art%20of%20Relevant%20Concepts.pdf
SLOTMACHINE - RESULTS & PUBLIC DELIVERABLES, Frequentis https://www.frequentis.com/en/research/projects/slotmachine/results-and-deliverables
Research on Optimization of in-warehouse picking Model based on genetic algorithm.https://www.webofproceedings.org/proceedings_series/ESSP/ICITED%202021/Y0197.pdf
A Comprehensive Analysis of Testing Efforts Using the Avisar Testing Tool for Object Oriented Softwares.https://link.springer.com/chapter/10.1007/978-981-16-6369-7_34
Optimizing Urban LiDAR Flight Path Planning Using a Genetic Algorithm and a Dual Parallel Computing Framework.https://doi.org/10.3390/rs13214437
On the Scalability of Compositions of Service-Oriented Applications.https://link.springer.com/chapter/10.1007/978-3-030-91431-8_28
Multi-objective optimization of energy-efficient production schedules using genetic algorithms.https://doi.org/10.1007/s11081-021-09691-3
A Novelty Search and Metamorphic Testing Approach to Automatic Test Generation.https://doi.org/10.1109/SBST52555.2021.00008
ION SOURCE OPTIMIZATION USING BI-OBJECTIVE GENETIC AND MATRIX-PROFILE ALGORITHM.https://accelconf.web.cern.ch/ipac2021/papers/tupab300.pdf
Domain-driven Correlation-aware Recombination and Mutation Operators for Complex Real-world Applications.https://doi.org/10.1109/CEC45853.2021.9504931
Designing convolutional neural networks with constrained evolutionary piecemeal training.https://doi.org/10.1007/s10489-021-02679-7
Genetic improvement of routing in delay tolerant networks.https://doi.org/10.1145/3449726.3462716
Improving evolutionary algorithms by enhancing an approximative fitness function through prediction intervals.http://www.informatik.uni-bremen.de/agra/doc/konf/CEC_approximative.pdf
GeniePutt: Augmenting human motor skills through electrical muscle stimulation.https://doi.org/10.1515/itit-2020-0035
An Empirical Study of Refactorings and Technical Debt in Machine Learning Systems.https://academicworks.cuny.edu/hc_pubs/671/
Model-Based Product Line Engineering with Genetic Algorithms for Automated Component Selection.https://doi.org/10.1007/978-3-030-73539-5_23
Genetic Improvement of Routing Protocols for DelayTolerant Networks. https://arxiv.org/pdf/2103.07428.pdf
Towards Large Scale Automated Algorithm Designby Integrating Modular Benchmarking Frameworks. https://arxiv.org/abs/2102.06435
Towards a Multi-Objective Modularization Approach for Entity-Relationship Models.https://model-engineering.info/publications/papers/ER2020_Forum_ModulER-CR.pdf
Aggregation of Households in Community Energy Systems: An Analysis from Actors’ and Market Perspectives. https://doi.org/10.3390/en13195154
Enhancing Performance of Cloud-based Software Applications with GraalVM and Quarkus.https://ieeexplore.ieee.org/abstract/document/9245290
A Comprehensive Analysis for Validation of AVISAR Object-Oriented Testing Tool.https://link.springer.com/chapter/10.1007/978-981-15-7106-0_60
Nature Inspired Techniques and Applications in Intrusion Detection Systems: Recent Progress and Updated Perspective.https://doi.org/10.1007/s11831-020-09481-7
Comparison of Response Surface Methodology and Artificial Neural Network for the Solvent Extraction of Fatty Acid Methyl Ester from Fish Waste. http://modern-journals.com/index.php/ijma/article/view/378
Chips-n-Salsa: A Java Library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms.https://doi.org/10.21105/joss.02448
Machine Learning and Optimization for Production Rescheduling in Industry 4.0.https://iris.polito.it/retrieve/handle/11583/2842141/388548/I40for_Advanced_Manufacturing_Technology.pdf
An Evolutionary Optimization Algorithm for GraduallySaturating Objective Functions.https://staff.fnwi.uva.nl/a.d.pimentel/artemis/GECCO2020.pdf
Constrained Evolutionary Piecemeal Training to Design Convolutional Neural Networks.https://staff.fnwi.uva.nl/a.d.pimentel/artemis/EvoML2020.pdf
Network intrusion detection based on deep learning model optimized with rule-based hybrid feature selection.https://doi.org/10.1080/19393555.2020.1767240
Model Optimization Using Artificial Intelligence Algorithms for Biological Food Waste Degradation.https://link.springer.com/chapter/10.1007%2F978-981-15-4821-5_11
Optimizing Parametric Dependencies forIncremental Performance Model Extraction.https://sdqweb.ipd.kit.edu/publications/pdfs/voneva2020a.pdf
Evolving Matrix-Factorization-Based Collaborative Filtering Using Genetic Programming.https://www.mdpi.com/2076-3417/10/2/675
Learning Patterns for Complex Event Detection in Robot Sensor Data.https://link.springer.com/chapter/10.1007/978-3-030-41913-4_12
Genetic Algorithms for Creating Large Job Shop Dispatching Rules. https://link.springer.com/chapter/10.1007/978-981-15-1918-5_7
A decision-making support system for Enterprise Architecture Modelling. https://www.sciencedirect.com/science/article/pii/S016792362030004X
Application of nature-inspired optimization algorithms and machine learning for heavy-ion synchrotrons. https://www.worldscientific.com/doi/abs/10.1142/S0217751X19420193
A New Hybrid Genetic and Information Gain Algorithm for Imputing Missing Values in Cancer Genes Datasets. http://www.mecs-press.org/ijisa/ijisa-v11-n12/IJISA-V11-N12-3.pdf
Applying Heuristic and Machine Learning Strategies to ProductResolution. https://pdfs.semanticscholar.org/0a91/c4e03a2acd8c295af398167edf7350ad0662.pdf
Integration of Machine Learning and OptimizationTechniques for Flexible Job-Shop Rescheduling inIndustry 4.0. http://www.orgroup.polito.it/material/DAUIN-ORO-2019-06.pdf
Constrained Software Distribution for Automotive Systems. https://link.springer.com/chapter/10.1007/978-3-030-30275-7_44
Maximizing MapReduce job speed and reliability in the mobile cloud by optimizing task allocation. https://doi.org/10.1016/j.pmcj.2019.101082
Model-Based Timing Analysis and Deployment Optimization for Heterogeneous Multi-core Systems using Eclipse APP4MC. https://ieeexplore.ieee.org/document/8904877
Scheduling in Heterogeneous Architectures via Multivariate Linear Regression on Function Inputs. https://hal-lirmm.ccsd.cnrs.fr/lirmm-02281112/document
ECJ at 20: toward a general metaheuristics toolkit. https://dl.acm.org/doi/10.1145/3319619.3326865
Optimization Methods Applied to Power Systems, Volume 2. https://www.mdpi.com/books/pdfview/book/1450
CPU-GPU Response Time and Mapping Analysis for High-Performance Automotive Systems. https://www.researchgate.net/publication/335137686_CPU-GPU_Response_Time_and_Mapping_Analysis_for_High-Performance_Automotive_Systems
Search-based test and improvement of machine-learning-based anomaly detection systems. http://delivery.acm.org/10.1145/3340000/3330580/issta19main-p399-p.pdf?ip=84.114.111.7&id=3330580&acc=OPEN&key=4D4702B0C3E38B35%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35%2E6D218144511F3437&__acm__=1563299816_46b771752984b933c8c119b7f7d81805
Automated Handling of Auxiliary Materials using a Multi-Kinematic Gripping System. https://doi.org/10.1016/j.promfg.2020.01.220
On an evolutionary information system for personalized support to plant operators. https://doi.org/10.1016/j.procir.2019.03.153
Forecasting a Storm: Divining Optimal Configurations using Genetic Algorithms and Supervised Learning. http://faculty.cs.gwu.edu/timwood/papers/19-ICAC-storm.pdf
An analytical approach for calculating end-to-end response times in autonomous driving applications. https://www.researchgate.net/publication/334084554_An_analytical_approach_for_calculating_end-to-end_response_times_in_autonomous_driving_applications
A symbolic evolutionary algorithm software platform. http://delivery.acm.org/10.1145/3330000/3326828/p1366-lopes.pdf?ip=84.114.111.7&id=3326828&acc=OPEN&key=4D4702B0C3E38B35%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35%2E6D218144511F3437&__acm__=1563021092_5e8cda0c5ddddb14d4f5e9e3bd610a44
Renaissance: Benchmarking Suite for Parallel Applications on the JVM. https://renaissance.dev/resources/docs/renaissance-suite.pdf
Memory Mapping Analysis for Automotive Systems. http://2019.rtas.org/wp-content/uploads/2019/04/RTAS19_BP_proceedings.pdf#page=23
AUTOMATED SYSTEM FOR EVALUATING 2D-IMAGE COMPOSITIONAL CHARACTERISTICS: CONFIGURING THE MATHEMATICAL MODEL.http://izdat.istu.ru/index.php/ISM/article/view/4317
Optimization of the Contracted Electric Power by Means of Genetic Algorithms.https://www.mdpi.com/1996-1073/12/7/1270
Modelling and Optimisation of Oil Palm Trunk Core Biodelignification using Neural Network and Genetic Algorithm.https://dl.acm.org/doi/10.1145/3323716.3323737
On Evaluating the Renaissance Benchmarking Suite: Variety, Performance, and Complexity.https://arxiv.org/pdf/1903.10267.pdf
OPTIMIZATION OF HEAVY-ION SYNCHROTRONS USINGNATURE-INSPIRED ALGORITHMS AND MACHINE LEARNING.https://www.researchgate.net/profile/Sabrina_Appel/publication/330934110_OPTIMIZATION_OF_HEAVY-ION_SYNCHROTRONS_USING_NATURE-INSPIRED_ALGORITHMS_AND_MACHINE_LEARNING/links/5c5c425b299bf1d14cb33546/OPTIMIZATION-OF-HEAVY-ION-SYNCHROTRONS-USING-NATURE-INSPIRED-ALGORITHMS-AND-MACHINE-LEARNING.pdf
13th Int. Computational Accelerator Physics Conf.https://bt.pa.msu.edu/ICAP18/index.html
AutoAnalyze in Systems Biology.https://journals.sagepub.com/doi/10.1177/1177932218818458
Evolutionary Computing Approach to Optimize Superframe Scheduling on Industrial Wireless Sensor Networks.https://arxiv.org/pdf/1812.01201.pdf
Introductory overview: Optimization using evolutionary algorithms and other metaheuristics.https://www.sciencedirect.com/science/article/pii/S1364815218305905
Automatic Generation of Dispatching Rules for Large Job Shops by Means of Genetic Algorithms.http://ceur-ws.org/Vol-2252/paper4.pdf
Speed up genetic algorithms in the cloud using software containers.https://www.sciencedirect.com/science/article/pii/S0167739X17324147
Genetic Algorithms for Scheduling and Optimization of Ore Train Networks.https://easychair.org/publications/open/GRLP
The Evolutionary Optimization of a Company’s Return on Equity Factor: Towards the Agent-Based Bio-Inspired System Supporting Corporate Finance Decisions.https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8466578
Automated Component‐Selection of Design Synthesis for Physical Architecture with Model‐Based Systems Engineering using Evolutionary Trade‐off.https://onlinelibrary.wiley.com/doi/abs/10.1002/j.2334-5837.2018.00549.x
INCOSE International Symposium, 28: 1296-1310https://onlinelibrary.wiley.com/doi/abs/10.1002/j.2334-5837.2018.00549.x
Comparison of Selection Methods of Genetic Algorithms for Automated Component-Selection of Design Synthesis with Model-Based Systems Engineering.https://www.researchgate.net/publication/327096423_Comparison_of_Selection_Methods_of_Genetic_Algorithms_for_Automated_Component-Selection_of_Design_Synthesis_with_Model-Based_Systems_Engineering
Die Evolution im Algorithmus - Teil 2: Multikriterielle Optimierung und Architekturerkennung.http://www.buschmais.de/wp-content/uploads/2018/06/Die-Evolution-im-Algorithmus_Teil2_JS_03_18.pdf
JavaSPEKTRUM 03/2018, pp 66–69, https://www.sigs-datacom.de/digital/javaspektrum/
Genetic Algorithms for Machine Optimization in the Fair Control System Environment.http://accelconf.web.cern.ch/AccelConf/ipac2018/papers/thpml028.pdf
The 9th International Particle Accelerator Conference (IPAC'18)https://ipac18.org/welcome/
Die Evolution im Algorithmus - Teil 1: Grundlagen.http://www.buschmais.de/wp-content/uploads/2018/02/Die-Evolution-im-Algorithmus_JS_01_18.pdf
JavaSPEKTRUM 01/2018, pp 64–68, https://www.sigs-datacom.de/digital/javaspektrum/
Anytime diagnosis for reconfiguration. https://link.springer.com/article/10.1007/s10844-017-0492-1
From Raw Data to Protein Backbone Chemical Shifts Using NMRFx Processing and NMRViewJ Analysis. https://link.springer.com/protocol/10.1007/978-1-4939-7386-6_13
Automated Scheduling for Tightly-Coupled Embedded Multi-core Systems Using Hybrid Genetic Algorithms. https://link.springer.com/chapter/10.1007/978-3-319-67642-5_30
Into the Storm: Descrying Optimal Configurations Using Genetic Algorithms and Bayesian Optimization. http://ieeexplore.ieee.org/abstract/document/8064120/
Foundations and Applications of Self* Systems (FAS*W), 2017 IEEE 2nd International Workshopshttp://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8063634
Genetic-Based Configurable Cloud Resource Allocation in QoS-Aware Business Process Development. https://doi.org/10.1109/ICWS.2017.101
Automação Domótica Simulada Utilizando Algoritmo Genético Especializado na Redução do Consumo de Energia. http://siaiap32.univali.br/seer/index.php/acotb/article/view/10579/5933
Metaheuristic Techniques.http://dx.doi.org/10.1201/9781315183176-12
EMeD-Part: An Efficient Methodology for Horizontal Partitioning in Data Warehouses.http://dx.doi.org/10.1145/2816839.2816876
Interactive Knowledge Discovery and Data Mining in Biomedical Informatics.http://www.springer.com/computer/database+management+%26+information+retrieval/book/978-3-662-43967-8
Springerhttp://www.springer.com
Particle swarm optimization for bitmap join indexes selection problem in data warehouses.http://link.springer.com/article/10.1007%2Fs11227-013-1058-9
The Journal of Supercomputinghttp://link.springer.com/journal/11227
Issue 2http://link.springer.com/journal/11227/68/2/page/1
Study on Object-Oriented Reactive Compensation Allocation Optimization Algorithm for Distribution Networkshttp://en.cnki.com.cn/Article_en/CJFDTOTAL-JXKF201210017.htm
Complex Adaptive Systems of Systems Engineering Environment Version 1.0. http://prod.sandia.gov/techlib/access-control.cgi/2012/121117.pdf
SAND REPORThttp://www.sandia.gov/CasosEngineering/
https://github.com/jenetics#release-notes
8.3.0https://github.com/jenetics/jenetics/releases/tag/v8.3.0
https://github.com/jenetics#830
https://github.com/jenetics#improvements
#933https://github.com/jenetics/jenetics/issues/933
#935https://github.com/jenetics/jenetics/issues/935
#938https://github.com/jenetics/jenetics/issues/938
#943https://github.com/jenetics/jenetics/issues/943
#946https://github.com/jenetics/jenetics/issues/946
#948https://github.com/jenetics/jenetics/issues/948
#951https://github.com/jenetics/jenetics/issues/951
https://github.com/jenetics#bugs
#936https://github.com/jenetics/jenetics/issues/936
#941https://github.com/jenetics/jenetics/issues/941
TestNGhttps://github.com/testng-team/testng
#952https://github.com/jenetics/jenetics/issues/952
#955https://github.com/jenetics/jenetics/pull/945
All Release Noteshttps://github.com/jenetics/jenetics/blob/master/RELEASE_NOTES.md
https://github.com/jenetics#license
Apache License, Version 2.0http://www.apache.org/licenses/LICENSE-2.0.html
https://github.com/jenetics#used-software
https://www.jetbrains.com/idea/
https://www.syntevo.com/smartgit/
jeneticshttps://github.com/jenetics/jenetics
881 https://github.com/jenetics/jenetics/stargazers
162 https://github.com/jenetics/jenetics/forks
jpxhttps://github.com/jenetics/jpx
219 https://github.com/jenetics/jpx/stargazers
33 https://github.com/jenetics/jpx/forks
prnginehttps://github.com/jenetics/prngine
11 https://github.com/jenetics/prngine/stargazers
3 https://github.com/jenetics/prngine/forks
facilejdbchttps://github.com/jenetics/facilejdbc
41 https://github.com/jenetics/facilejdbc/stargazers
2 https://github.com/jenetics/facilejdbc/forks
GitHub status pagehttps://www.githubstatus.com/
contact supporthttps://github.com/contact
Please reload this pagehttps://github.com/jenetics
https://github.com
Termshttps://docs.github.com/site-policy/github-terms/github-terms-of-service
Privacyhttps://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Securityhttps://github.com/security
Statushttps://www.githubstatus.com/
Communityhttps://github.community/
Docshttps://docs.github.com/
Contacthttps://support.github.com?tags=dotcom-footer

Viewport: width=device-width

URLs of crawlers that visited me.