Optimization of control parameters for genetic algorithms
IEEE Transactions on Systems, Man and Cybernetics
Global optimization
The Racing Algorithm: Model Selection for Lazy Learners
Artificial Intelligence Review - Special issue on lazy learning
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
A method for parameter calibration and relevance estimation in evolutionary algorithms
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Evolutionary computation: a unified approach
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
Relevance estimation and value calibration of evolutionary algorithm parameters
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Parameter control in evolutionary algorithms
IEEE Transactions on Evolutionary Computation
Adaptive genetic algorithm using harmony search
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Autonomous operator management for evolutionary algorithms
Journal of Heuristics
Performance analysis for genetic quantum circuit synthesis
ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
Parameter tuning boosts performance of variation operators in multiobjective optimization
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
Adaptive vs. self-adaptive parameters for evolving quantum circuits
ICES'10 Proceedings of the 9th international conference on Evolvable systems: from biology to hardware
Statistical analysis of parameter setting in real-coded evolutionary algorithms
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part II
Parameter evolution for a particle swarm optimization algorithm
ISICA'10 Proceedings of the 5th international conference on Advances in computation and intelligence
MADS/F-race: mesh adaptive direct search meets F-race
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
A parameter-less genetic algorithm with customized crossover and mutation operators
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Tuned data mining: a benchmark study on different tuners
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Policy matrix evolution for generation of heuristics
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Automatic and interactive tuning of algorithms
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Parameter tuning of evolutionary algorithms: generalist vs. specialist
EvoApplicatons'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part I
Encouraging behavioral diversity in evolutionary robotics: An empirical study
Evolutionary Computation
The differential ant-stigmergy algorithm
Information Sciences: an International Journal
Parameter meta-optimization of metaheuristic optimization algorithms
EUROCAST'11 Proceedings of the 13th international conference on Computer Aided Systems Theory - Volume Part I
Evolutionary algorithm parameter tuning with sensitivity analysis
SIIS'11 Proceedings of the 2011 international conference on Security and Intelligent Information Systems
Resampling methods for meta-model validation with recommendations for evolutionary computation
Evolutionary Computation
Testing diversity-enhancing migration policies for hybrid on-line evolution of robot controllers
EvoApplications'12 Proceedings of the 2012t European conference on Applications of Evolutionary Computation
PSO based on surrogate modeling as meta-search to optimise evolutionary algorithms parameters
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Parameter tuning of evolutionary reactions systems
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
A Hybrid Genetic Algorithm for Multidepot and Periodic Vehicle Routing Problems
Operations Research
Cascaded Evolutionary Estimator for Robot Localization
International Journal of Applied Evolutionary Computation
An on-line on-board distributed algorithm for evolutionary robotics
EA'11 Proceedings of the 10th international conference on Artificial Evolution
Is the meta-EA a viable optimization method?
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Exploration and exploitation in evolutionary algorithms: A survey
ACM Computing Surveys (CSUR)
Automatic (offline) configuration of algorithms
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Evolving black-box search algorithms employing genetic programming
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Extractive single-document summarization based on genetic operators and guided local search
Expert Systems with Applications: An International Journal
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Tuning the parameters of an evolutionary algorithm (EA) to a given problem at hand is essential for good algorithm performance. Optimizing parameter values is, however, a non-trivial problem, beyond the limits of human problem solving. In this light it is odd that no parameter tuning algorithms are used widely in evolutionary computing. This paper is meant to be stepping stone towards a better practice by discussing the most important issues related to tuning EA parameters, describing a number of existing tuning methods, and presenting a modest experimental comparison among them. The paper is concluded by suggestions for future research - hopefully inspiring fellow researchers for further work.