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Proceedings of the Genetic and Evolutionary Computation Conference
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Reactive Search and Intelligent Optimization
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k-Bit Mutation with Self-Adjusting k Outperforms Standard Bit Mutation
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Extreme Value Based Adaptive Operator Selection
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Tuning Metaheuristics : A Machine Learning Perspective
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Optimal Fixed and Adaptive Mutation Rates for the LeadingOnes Problem
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Automated Algorithm Configuration and Parameter Tuning
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An Investigation of Reinforcement Learning for Reactive Search Optimization
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A Generic Approach to Parameter Control
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Parameter Control in Evolutionary Algorithms
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Black-Box Search by Unbiased Variation
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The $$(1+1)$$ ( 1 + 1 ) Elitist Black-Box Complexity of LeadingOnes
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Optimal Static and Self-Adjusting Parameter Choices for the $$(1+(\lambda ,\lambda ))$$ ( 1 + ( λ , λ ) ) Genetic Algorithm
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Self-Adjusting Mutation Rates with Provably Optimal Success Rules
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Optimization by Simulated Annealing
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The query complexity of a permutation-based variant of Mastermind
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Optimal parameter choices via precise black-box analysis
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The Algorithm Selection Problem
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Learning to Select Branching Rules in the DPLL Procedure for Satisfiability
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Human-level control through deep reinforcement learning
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Hyper-heuristics: a survey of the state of the art
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Comparing parameter tuning methods for evolutionary algorithms
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Can OneMax help optimizing LeadingOnes using the EA+RL method?
inferredcites →https://doi.org/10.1109/sitis.2010.22openalex-snapshot
A Method to Control Parameters of Evolutionary Algorithms by Using Reinforcement Learning
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A New Method for Lower Bounds on the Running Time of Evolutionary Algorithms
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Parameter Control in Evolutionary Algorithms: Trends and Challenges
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Reinforcement Learning: An Introduction
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Adaptive operator selection with dynamic multi-armed bandits
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A Systematic Literature Review of Adaptive Parameter Control Methods for Evolutionary Algorithms
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Simple on-the-fly parameter selection mechanisms for two classical discrete black-box optimization benchmark problems
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On the runtime analysis of selection hyper-heuristics with adaptive learning periods
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Maximizing Drift Is Not Optimal for Solving OneMax
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Completely Derandomized Self-Adaptation in Evolution Strategies
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Simple Hyper-Heuristics Control the Neighbourhood Size of Randomised Local Search Optimally for LeadingOnes
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Learning Step Size Controllers for Robust Neural Network Training
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Deep Reinforcement Learning with Double Q-Learning
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Deep Reinforcement Learning That Matters
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Learning Heuristic Selection with Dynamic Algorithm Configuration
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Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
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ParamILS: An Automatic Algorithm Configuration Framework
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DACBench: A Benchmark Library for Dynamic Algorithm Configuration
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Dynamic Algorithm Configuration: Foundation of a New Meta-Algorithmic Framework
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Population Based Training of Neural Networks
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.1007/978-3-540-78987-1_13openalex-snapshot
Honey Bees Mating Optimization Algorithm for the Vehicle Routing Problem
inferred← citeshttps://doi.org/10.1007/978-3-540-79474-5_12openalex-snapshot
Linkage Analysis in Genetic Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-540-85068-7_11openalex-snapshot
Studying the Effects of Dual Coding on the Adaptation of Representation for Linkage in Evolutionary Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-540-87700-4_34openalex-snapshot
Fitness Expectation Maximization
inferred← citeshttps://doi.org/10.1007/978-3-540-88138-4_1openalex-snapshot
Learning Classifier Systems: Looking Back and Glimpsing Ahead
inferred← citeshttps://doi.org/10.1007/978-3-642-00619-7_1openalex-snapshot
Continuous Constrained Optimization with Dynamic Tolerance Using the COPSO Algorithm
inferred← citeshttps://doi.org/10.1007/978-3-642-00619-7_6openalex-snapshot
An Adaptive Penalty Function for Handling Constraint in Multi-objective Evolutionary Optimization
inferred← citeshttps://doi.org/10.1007/978-3-642-01129-0_86openalex-snapshot
A Critical Look at Dynamic Multi-dimensional Knapsack Problem Generation
inferred← citeshttps://doi.org/10.1007/978-3-642-01262-4_4openalex-snapshot
Dynamic Problems and Nature Inspired Meta-heuristics
inferred← citeshttps://doi.org/10.1007/978-3-642-02478-8_108openalex-snapshot
Protein Structure Prediction by Evolutionary Multi-objective Optimization: Search Space Reduction by Using Rotamers
inferred← citeshttps://doi.org/10.1007/978-3-642-02921-9_23openalex-snapshot
Autonomous Evolution of High-Speed Quadruped Gaits Using Particle Swarm Optimization
inferred← citeshttps://doi.org/10.1007/978-3-642-04277-5_77openalex-snapshot
Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning
inferred← citeshttps://doi.org/10.1007/978-3-642-04921-7_33openalex-snapshot
Supporting Scalable Bayesian Networks Using Configurable Discretizer Actuators
inferred← citeshttps://doi.org/10.1007/978-3-642-05177-7_23openalex-snapshot
Multistrategy Learning for Robot Behaviours
inferred← citeshttps://doi.org/10.1007/978-3-642-05253-8_15openalex-snapshot
Effects of Diversity on Optimality in GA
inferred← citeshttps://doi.org/10.1007/978-3-642-10439-8_46openalex-snapshot
Balancing Parent and Offspring Selection in Genetic Programming
inferred← citeshttps://doi.org/10.1007/978-3-642-10701-6_1openalex-snapshot
A Survey of Fitness Approximation Methods Applied in Evolutionary Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-642-10701-6_11openalex-snapshot
Improving Local Convergence in Particle Swarms by Fitness Approximation Using Regression
inferred← citeshttps://doi.org/10.1007/978-3-642-10701-6_2openalex-snapshot
A Review of Techniques for Handling Expensive Functions in Evolutionary Multi-Objective Optimization
inferred← citeshttps://doi.org/10.1007/978-3-642-11859-3_5openalex-snapshot
Steigerung der Reaktionsfähigkeit von agilen Supply Chains mittels automatischer Beantwortung von funktionalen Leistungsanfragen
inferred← citeshttps://doi.org/10.1007/978-3-642-12538-6_32openalex-snapshot
Particle Swarm Optimization Based Tuning of Genetic Programming Evolved Classifier Expressions
inferred← citeshttps://doi.org/10.1007/978-3-642-12775-5_16openalex-snapshot
Application of Coarse-Coding Techniques for Evolvable Multirobot Controllers
inferred← citeshttps://doi.org/10.1007/978-3-642-13425-8_12openalex-snapshot
VISPLORE: Exploring Particle Swarms by Visual Inspection
inferred← citeshttps://doi.org/10.1007/978-3-642-13800-3_26openalex-snapshot
Grapheur: A Software Architecture for Reactive and Interactive Optimization
inferred← citeshttps://doi.org/10.1007/978-3-642-16239-8_14openalex-snapshot
Automatically Designing Robot Controllers and Sensor Morphology with Genetic Programming
inferred← citeshttps://doi.org/10.1007/978-3-642-16644-0_56openalex-snapshot
A Case Study of Parameter Control in a Genetic Algorithm: Computer Network Performance
inferred← citeshttps://doi.org/10.1007/978-3-642-17432-2_28openalex-snapshot
Sampling Methods in Genetic Programming for Classification with Unbalanced Data
inferred← citeshttps://doi.org/10.1007/978-3-642-18965-4_11openalex-snapshot
Gene Expression and Scalable Genetic Search
inferred← citeshttps://doi.org/10.1007/978-3-642-20217-9_22openalex-snapshot
Learning Powerful Kicks on the Aibo ERS-7: The Quest for a Striker
inferred← citeshttps://doi.org/10.1007/978-3-642-20282-7_37openalex-snapshot
Study on the Effects of Pseudorandom Generation Quality on the Performance of Differential Evolution
inferred← citeshttps://doi.org/10.1007/978-3-642-20525-5_35openalex-snapshot
Flexible Variable Neighborhood Search in Dynamic Vehicle Routing
inferred← citeshttps://doi.org/10.1007/978-3-642-20980-2_6openalex-snapshot
Self-organization of Supervised Models
inferred← citeshttps://doi.org/10.1007/978-3-642-21271-0_3openalex-snapshot
Multi-objective Cooperative Coevolutionary Evolutionary Algorithms for Continuous and Combinatorial Optimization
inferred← citeshttps://doi.org/10.1007/978-3-642-21705-0_13openalex-snapshot
Fuzzy Skyhook Surface Control Using Micro-Genetic Algorithm for Vehicle Suspension Ride Comfort
inferred← citeshttps://doi.org/10.1007/978-3-642-23716-4_2openalex-snapshot
Exploiting Decomposability Using Recombination in Genetic Algorithms: An Exploratory Discussion
inferred← citeshttps://doi.org/10.1007/978-3-642-24094-2_18openalex-snapshot
Degeneracy Reduction or Duplicate Elimination? An Analysis on the Performance of Attributed Grammatical Evolution with Lookahead to Solve the Multiple Knapsack Problem
inferred← citeshttps://doi.org/10.1007/978-3-642-25926-5_3openalex-snapshot
An Optimised Cellular Automata Model Based on Adaptive Genetic Algorithm for Urban Growth Simulation
inferred← citeshttps://doi.org/10.1007/978-3-642-27549-4_45openalex-snapshot
A Memetic Algorithm and a Solution Archive for the Rooted Delay-Constrained Minimum Spanning Tree Problem
inferred← citeshttps://doi.org/10.1007/978-3-642-28942-2_35openalex-snapshot
Real-World Problem for Checking the Sensitiveness of Evolutionary Algorithms to the Choice of the Random Number Generator
inferred← citeshttps://doi.org/10.1007/978-3-642-29828-8_17openalex-snapshot
Pheromone-Based Heuristic Column Generation for Vehicle Routing Problems with Black Box Feasibility
inferred← citeshttps://doi.org/10.1007/978-3-642-31125-3_10openalex-snapshot
A Genetic Algorithm Assisted by a Locally Weighted Regression Surrogate Model
inferred← citeshttps://doi.org/10.1007/978-3-642-32451-2_2openalex-snapshot
Some Single- and Multiobjective Optimization Techniques
inferred← citeshttps://doi.org/10.1007/978-3-642-32451-2_9openalex-snapshot
Use of Multiobjective Optimization for Data Clustering
inferred← citeshttps://doi.org/10.1007/978-3-642-34062-8_30openalex-snapshot
Real-Valued Negative Selection Algorithm with Variable-Sized Self Radius
inferred← citeshttps://doi.org/10.1007/978-3-642-34289-9_40openalex-snapshot
An Architecture for Internet-Based Distributed Evolutionary Computation
inferred← citeshttps://doi.org/10.1007/978-3-642-34413-8_39openalex-snapshot
Effects of Speciation on Evolution of Neural Networks in Highly Dynamic Environments
inferred← citeshttps://doi.org/10.1007/978-3-642-35380-2_33openalex-snapshot
Clustered Parent Centric Normal Cross-Over for Multimodal Optimization
inferred← citeshttps://doi.org/10.1007/978-3-642-37207-0_2openalex-snapshot
Controlling Bloat through Parsimonious Elitist Replacement and Spatial Structure
inferred← citeshttps://doi.org/10.1007/978-3-642-40409-2_13openalex-snapshot
Grammatical Evolution Algorithm for Position Prediction of the Ball in Robot-Soccer Goal Keeper Optimization
inferred← citeshttps://doi.org/10.1007/978-3-642-45111-9_3openalex-snapshot
The Concept of Confidence for Inheritance-Based Genetic Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-662-06230-2_19openalex-snapshot
Discovering Deep Building Blocks for Competent Genetic Algorithms Using Chance Discovery via KeyGraphs
inferred← citeshttps://doi.org/10.1007/978-81-322-0487-9_19openalex-snapshot
A New Real Coded Genetic Algorithm Operator: Log Logistic Mutation
inferred← citeshttps://doi.org/10.1007/978-81-322-0487-9_74openalex-snapshot
Artificial Weed Colonies with Neighbourhood Crowding Scheme for Multimodal Optimization
inferred← citeshttps://doi.org/10.1007/978-81-322-1041-2_20openalex-snapshot
Liquid-Drop-Like Multi-Orbit Topology Versus Ring Topology in PSO for Lennard-Jones Problem
inferred← citeshttps://doi.org/10.1007/978-81-322-1602-5_4openalex-snapshot
Diversity Maintenance Perspective: An Analysis of Exploratory Power and Function Optimization in the Context of Adaptive Genetic Algorithms
inferred← citeshttps://doi.org/10.1007/978-81-322-1665-0_43openalex-snapshot
Genetic Algorithm-Based Approach for Adequate Test Data Generation
inferred← citeshttps://doi.org/10.1007/978-81-322-2184-5_6openalex-snapshot
Efficient Constrained Optimization by the $$\varepsilon $$ Constrained Differential Evolution with Rough Approximation
inferred← citeshttps://doi.org/10.1007/978-94-007-4722-7_13openalex-snapshot
Single-Objective Spreading Algorithm
inferred← citeshttps://doi.org/10.1007/978-94-017-9205-9_13openalex-snapshot
Detecting Activity Types and Trip Purposes from Passive GPS Data: A Data Mining Approach
inferred← citeshttps://doi.org/10.1007/978-981-15-7804-5_10openalex-snapshot
Questionnaire-Based Prediction of Hypertension Using Machine Learning
inferred← citeshttps://doi.org/10.1007/978-981-16-1295-4_30openalex-snapshot
The Importance of Diversity in Multi-objective Evolutionary Algorithms
inferred← citeshttps://doi.org/10.1007/978-981-16-8113-4_7openalex-snapshot
Back to the Future—Revisiting OrdinalGP and Trustable Models After a Decade
inferred← citeshttps://doi.org/10.1007/978-981-19-8851-6_5-1openalex-snapshot
Multi-population Evolutionary and Swarm Intelligence Dynamic Optimization Algorithms: A Survey
inferred← citeshttps://doi.org/10.1007/978-981-97-3820-5_5openalex-snapshot
Multi-population Evolutionary and Swarm Intelligence Dynamic Optimization Algorithms: A Survey
inferred← citeshttps://doi.org/10.1007/978-981-97-6222-4_44openalex-snapshot
MLSTM: A Novel Modified Long Short-Term Memory Networks for Melody Synthesis Melody Generation
inferred← citeshttps://doi.org/10.1007/bf02481211openalex-snapshot
Criticality of cooperative society
inferred← citeshttps://doi.org/10.1007/bf02828606openalex-snapshot
Investigation on relationship between cost and software reliability
inferred← citeshttps://doi.org/10.1007/s00158-008-0251-6openalex-snapshot
Improving multi-objective genetic algorithms with adaptive design of experiments and online metamodeling
inferred← citeshttps://doi.org/10.1007/s00158-016-1638-4openalex-snapshot
Constrained combinatorial optimization of multi-layered composite structures by means of Stud GA with proportionate selection and extinction
inferred← citeshttps://doi.org/10.1007/s00158-024-03850-7openalex-snapshot
Automatic hyperparameter tuning of topology optimization algorithms using surrogate optimization
inferred← citeshttps://doi.org/10.1007/s00170-015-7012-7openalex-snapshot
Constructive cooperative coevolutionary optimisation for interacting production stations
inferred← citeshttps://doi.org/10.1007/s00291-009-0179-2openalex-snapshot
Heuristic and exact algorithms for the multi-pile vehicle routing problem
inferred← citeshttps://doi.org/10.1007/s00453-023-01153-9openalex-snapshot
Self-adjusting Population Sizes for Non-elitist Evolutionary Algorithms: Why Success Rates Matter
inferred← citeshttps://doi.org/10.1007/s00500-007-0218-3openalex-snapshot
On the evaluation of the Bunch search-based software modularization algorithm
inferred← citeshttps://doi.org/10.1007/s00500-008-0298-8openalex-snapshot
A grid-based genetic algorithm combined with an adaptive simulated annealing for protein structure prediction
inferred← citeshttps://doi.org/10.1007/s00500-008-0349-1openalex-snapshot
AMA: a new approach for solving constrained real-valued optimization problems
inferred← citeshttps://doi.org/10.1007/s00500-009-0511-4openalex-snapshot
Evolving robust GP solutions for hedge fund stock selection in emerging markets
inferred← citeshttps://doi.org/10.1007/s00500-010-0678-8openalex-snapshot
REGAL-TC: a distributed genetic algorithm for concept learning based on REGAL and the treatment of counterexamples
inferred← citeshttps://doi.org/10.1007/s00500-010-0681-0openalex-snapshot
Optimization in dynamic environments: a survey on problems, methods and measures
inferred← citeshttps://doi.org/10.1007/s00500-011-0770-8openalex-snapshot
A cooperative coevolutionary approach dealing with the skull–face overlay uncertainty in forensic identification by craniofacial superimposition
inferred← citeshttps://doi.org/10.1007/s00500-013-0994-xopenalex-snapshot
Complex and dynamic population structures: synthesis, open questions, and future directions
inferred← citeshttps://doi.org/10.1007/s00500-013-1154-zopenalex-snapshot
Prediction in evolutionary algorithms for dynamic environments
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