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Currently v8.3.0
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Releases
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Documentation
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Baeldung
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blog entry.
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GitHub
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example
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javadoc
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Weasel program
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javadoc
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javadoc
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Monte Carlo simulations
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Random
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GPS
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GPX
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1.1
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Stream
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Schachprobleme komponieren mit evolutionären Algorithmen
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Solving the Knapsack Problem with the Jenetics Library
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Moved by Java: Timeline of key Java milestones - Java + genetic algorithms
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一种基于Jenetics的遗传算法程序设计
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How to Solve Tough Problems Using Genetic Algorithms
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Genetic algorithms with Java
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Jenetics 설치 및 예제
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유전 알고리즘 (Genetic Algorithms)
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Evolve On Click (EvOC) - An Intuitive Web Platform to Collaboratively Implement, Execute, and Visualize Evolutionary Algorithms.
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Advanced Search Techniques for Determining Optimal Sequences of Adaptation Rules in Process-Oriented Case-Based Reasoning.
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ELFuzz: Efficient Input Generation via LLM-driven Synthesis Over Fuzzer Space.
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Effective Task Scheduling based on Candidate Optimization Algorithm (COA) in Heterogeneous NoC-Based MPSoC.
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RADiCe: A Risk Analysis Framework for Data Centers.
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Heuristic based federated learning with adaptive hyperparameter tuning for households energy prediction.
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Evolving Financial Trading Strategies with Vectorial Genetic Programming.
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Metaheuristics algorithms: Fundamental aspects and applications in optimization problems.
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μOpTime: Statically Reducing the Execution Time of Microbenchmark Suites Using Stability Metrics.
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Bridging the Abstraction Gap: A Systematic Approach to Rule-Based Transformational Design for Embedded Systems.
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Open Source Evolutionary Computation with Chips-n-Salsa.
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Towards a Heuristic Optimizer for a Target Time Management System in Air Traffic Flow Management.
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Improvement of the Teaching Process Using the Genetic Algorithm.
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NanoBioAccumulate: Modelling the uptake and bioaccumulation of nanomaterials in soil and aquatic invertebrates via the Enalos DIAGONAL Cloud Platform.
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Multi-objective preference-free exact design space exploration of static DSP on multicore platforms.
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Minimizing the EXA-GP Graph-Based Genetic Programming Algorithm for Interpretable Time Series Forecasting.
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EXA-GP: Unifying Graph-Based Genetic Programming and Neuroevolution for Explainable Time Series Forecasting.
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Using Genetic Algorithms for Privacy-Preserving Optimization of Multi-Objective Assignment Problems in Time-Critical Settings: An Application in Air Traffic Flow Management.
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Evolutionary Analysis of Alloy Specifications with an Adaptive Fitness Function.
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EvoAl — Codeless Domain-Optimisation.
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Finding the perfect MRI sequence for your patient --- Towards an optimisation workflow for MRI-sequences.
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GraalSP: Polyglot, efficient, and robust machine learning-based static profiler.
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Coupling model predictive control and rules-based control for real-time control of urban river systems.
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Automatic Optimization of Tolerance Ranges for Model-Driven Runtime State Identification.
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Evolutionary Computation: Theories, Techniques, and Applications.
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On the suitability of checked coverage and genetic parameter tuning in test suite reduction.
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IDeSyDe: Systematic Design Space Exploration via Design Space Identification.
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Veni, Vidi, Evolvi commentary on W. B. Langdon’s “Jaws 30”.
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Optimizing IaC Configurations: a Case Study Using Nature-inspired Computing.
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Exploring Multi-core Systems with Lifetime Reliability and Power Consumption Trade-offs.
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A Generic and Customizable Genetic Algorithms-based Conceptual Model Modularization Framework.
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Generalized Coverage Criteria for Combinatorial Sequence Testing.
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GPStar4: A flexible framework for experimenting with genetic programming.
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Leveraging Artificial Intelligence for Model-based Software Analysis and Design.
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An Application of Evolutionary Algorithms and Machine Learning in Four-Part Harmonization.
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Exploring Multi-core Systems with Lifetime Reliability and Power Consumption Trade-offs.
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Optimization of input parameters of ANN–driven plasma source through nature-inspired evolutionary algorithms.
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Privacy-Preserving Implementation of an Auction Mechanism for ATFM Slot Swapping.
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Multi-Objective Search-Based Software Microbenchmark Prioritization.
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Bio-inspired optimization to support the test data generation of concurrent software.
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An Efficiency of Third Party Genetic Algorithms Software Libraries in Mobile Distributed Computing for Financial Time Series Forecasting.
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Data types as a more ergonomic frontend for Grammar-Guided Genetic Programming.
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A Distributed Architecture for Privacy-Preserving Optimization Using Genetic Algorithms and Multi-party Computation.
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Using density of training data to improve evolutionary algorithms with approximative fitness functions.
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Adapting mutation and recombination operators to range-aware relations in real-world application data.
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JGEA: a modular java framework for experimenting with evolutionary computation.
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EC-KitY: Evolutionary Computation Tool Kit in Python with Seamless Machine Learning Integration.
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Using Metamorphic Relationships and Genetic Algorithms to Test Open-Source Software.
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Checked Coverage for Test Suite Reduction – Is It Worth the Effort?
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Evolving action pre-selection parameters for MCTS in real-time strategy games.
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Speech emotion recognition using optimized genetic algorithm-extreme learning machine.
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Choosing the right technique for the right restriction - a domain-specific approach for enforcing search-space restrictions in evolutionary algorithms.
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Outpatient Appointment Optimization: A Case Study of a Chemotherapy Service.
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Combinatorial Sequence Testing Using Behavioral Programming and Generalized Coverage Criteria.
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D4.1 Report on State-ofthe-Art of Relevant Concepts.
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SLOTMACHINE - RESULTS & PUBLIC DELIVERABLES, Frequentis
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Research on Optimization of in-warehouse picking Model based on genetic algorithm.
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A Comprehensive Analysis of Testing Efforts Using the Avisar Testing Tool for Object Oriented Softwares.
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Optimizing Urban LiDAR Flight Path Planning Using a Genetic Algorithm and a Dual Parallel Computing Framework.
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On the Scalability of Compositions of Service-Oriented Applications.
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Multi-objective optimization of energy-efficient production schedules using genetic algorithms.
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Domain-driven Correlation-aware Recombination and Mutation Operators for Complex Real-world Applications.
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Designing convolutional neural networks with constrained evolutionary piecemeal training.
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Genetic improvement of routing in delay tolerant networks.
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Improving evolutionary algorithms by enhancing an approximative fitness function through prediction intervals.
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A Novelty Search and Metamorphic Testing Approach to Automatic Test Generation.
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ION SOURCE OPTIMIZATION USING BI-OBJECTIVE GENETIC AND MATRIX-PROFILE ALGORITHM.
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GeniePutt: Augmenting human motor skills through electrical muscle stimulation.
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An Empirical Study of Refactorings and Technical Debt in Machine Learning Systems.
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Model-Based Product Line Engineering with Genetic Algorithms for Automated Component Selection.
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Genetic Improvement of Routing Protocols for DelayTolerant Networks.
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Towards Large Scale Automated Algorithm Design by Integrating Modular Benchmarking Frameworks.
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Towards a Multi-Objective Modularization Approach for Entity-Relationship Models.
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Aggregation of Households in Community Energy Systems: An Analysis from Actors’ and Market Perspectives.
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Enhancing Performance of Cloud-based Software Applications with GraalVM and Quarkus.
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A Comprehensive Analysis for Validation of AVISAR Object-Oriented Testing Tool.
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Comparison of Response Surface Methodology and Artificial Neural Network for the Solvent Extraction of Fatty Acid Methyl Ester from Fish Waste.
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Nature Inspired Techniques and Applications in Intrusion Detection Systems: Recent Progress and Updated Perspective.
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Chips-n-Salsa: A Java Library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms.
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Machine Learning and Optimization for Production Rescheduling in Industry 4.0.
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An Evolutionary Optimization Algorithm for GraduallySaturating Objective Functions.
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Constrained Evolutionary Piecemeal Training to Design Convolutional Neural Networks.
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Network intrusion detection based on deep learning model optimized with rule-based hybrid feature selection.
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Model Optimization Using Artificial Intelligence Algorithms for Biological Food Waste Degradation.
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Optimizing Parametric Dependencies forIncremental Performance Model Extraction.
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Evolving Matrix-Factorization-Based Collaborative Filtering Using Genetic Programming.
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Learning Patterns for Complex Event Detection in Robot Sensor Data.
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Genetic Algorithms for Creating Large Job Shop Dispatching Rules.
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A decision-making support system for Enterprise Architecture Modelling.
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Application of nature-inspired optimization algorithms and machine learning for heavy-ion synchrotrons.
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A New Hybrid Genetic and Information Gain Algorithm for Imputing Missing Values in Cancer Genes Datasets.
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Applying Heuristic and Machine Learning Strategies to ProductResolution.
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Integration of Machine Learning and Optimization Techniques for Flexible Job-Shop Rescheduling inIndustry 4.0.
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Constrained Software Distribution for Automotive Systems.
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Maximizing MapReduce job speed and reliability in the mobile cloud by optimizing task allocation.
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Model-Based Timing Analysis and Deployment Optimization for Heterogeneous Multi-core Systems using Eclipse APP4MC.
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Scheduling in Heterogeneous Architectures via Multivariate Linear Regression on Function Inputs.
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ECJ at 20: toward a general metaheuristics toolkit.
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Optimization Methods Applied to Power Systems, Volume 2.
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CPU-GPU Response Time and Mapping Analysis for High-Performance Automotive Systems.
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Search-based test and improvement of machine-learning-based anomaly detection systems.
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Automated Handling of Auxiliary Materials using a Multi-Kinematic Gripping System.
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On an evolutionary information system for personalized support to plant operators.
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Forecasting a Storm: Divining Optimal Configurations using Genetic Algorithms and Supervised Learning.
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An analytical approach for calculating end-to-end response times in autonomous driving applications.
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A symbolic evolutionary algorithm software platform.
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Renaissance: Benchmarking Suite for Parallel Applications on the JVM.
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Memory Mapping Analysis for Automotive Systems.
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AUTOMATED SYSTEM FOR EVALUATING 2D-IMAGE COMPOSITIONAL CHARACTERISTICS: CONFIGURING THE MATHEMATICAL MODEL.
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Optimization of the Contracted Electric Power by Means of Genetic Algorithms.
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Modelling and Optimisation of Oil Palm Trunk Core Biodelignification using Neural Network and Genetic Algorithm.
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On Evaluating the Renaissance Benchmarking Suite: Variety, Performance, and Complexity.
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OPTIMIZATION OF HEAVY-ION SYNCHROTRONS USINGNATURE-INSPIRED ALGORITHMS AND MACHINE LEARNING.
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13th Int. Computational Accelerator Physics Conf.
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AutoAnalyze in Systems Biology.
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Evolutionary Computing Approach to Optimize Superframe Scheduling on Industrial Wireless Sensor Networks.
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Introductory overview: Optimization using evolutionary algorithms and other metaheuristics.
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Automatic Generation of Dispatching Rules for Large Job Shops by Means of Genetic Algorithms.
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Speed up genetic algorithms in the cloud using software containers.
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Genetic Algorithms for Scheduling and Optimization of Ore Train Networks.
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The Evolutionary Optimization of a Company’s Return on Equity Factor: Towards the Agent-Based Bio-Inspired System Supporting Corporate Finance Decisions.
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Automated Component‐Selection of Design Synthesis for Physical Architecture with Model‐Based Systems Engineering using Evolutionary Trade‐off.
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Comparison of Selection Methods of Genetic Algorithms for Automated Component-Selection of Design Synthesis with Model-Based Systems Engineering.
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Die Evolution im Algorithmus - Teil 2: Multikriterielle Optimierung und Architekturerkennung.
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Genetic Algorithms for Machine Optimization in the Fair Control System Environment.
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The 9th International Particle Accelerator Conference (IPAC'18)
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Die Evolution im Algorithmus - Teil 1: Grundlagen.
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Anytime diagnosis for reconfiguration.
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From Raw Data to Protein Backbone Chemical Shifts Using NMRFx Processing and NMRViewJ Analysis.
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Automated Scheduling for Tightly-Coupled Embedded Multi-core Systems Using Hybrid Genetic Algorithms.
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Into the Storm: Descrying Optimal Configurations Using Genetic Algorithms and Bayesian Optimization.
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Foundations and Applications of Self* Systems (FAS*W), 2017 IEEE 2nd International Workshops
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Genetic-Based Configurable Cloud Resource Allocation in QoS-Aware Business Process Development.
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Automação Domótica Simulada Utilizando Algoritmo Genético Especializado na Redução do Consumo de Energia.
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Metaheuristic Techniques.
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EMeD-Part: An Efficient Methodology for Horizontal Partitioning in Data Warehouses.
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Interactive Knowledge Discovery and Data Mining in Biomedical Informatics.
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Springer
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Particle swarm optimization for bitmap join indexes selection problem in data warehouses.
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The Journal of Supercomputing
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Issue 2
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SAND REPORT
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Fork
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Apache
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