Adaptive operator selection with dynamic multi-armed bandits
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Extreme Value Based Adaptive Operator Selection
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
A Compass to Guide Genetic Algorithms
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Costs and Benefits of Tuning Parameters of Evolutionary Algorithms
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Parameter Control Methods for Selection Operators in Genetic Algorithms
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Analysis of adaptive operator selection techniques on the royal road and long k-path problems
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Bringing evolutionary computation to industrial applications with guide
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
A population scheme using cellular automata, cambrian explosions and massive extinctions
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Futility-based offspring sizing
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Using performance fronts for parameter setting of stochastic metaheuristics
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Optimization of power allocation for interference cancellation with particle swarm optimization
IEEE Transactions on Evolutionary Computation - Special issue on computational finance and economics
Limitations of existing mutation rate heuristics and how a rank GA overcomes them
IEEE Transactions on Evolutionary Computation
A genetic algorithm that adaptively mutates and never revisits
IEEE Transactions on Evolutionary Computation
Extreme compass and dynamic multi-armed bandits for adaptive operator selection
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Theoretical analysis of rank-based mutation: combining exploration and exploitation
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Continuous non-revisiting genetic algorithm
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Adaptive evolutionary algorithms for the delineation of local labour markets
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A study of operator and parameter choices in non-revisiting genetic algorithm
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
On the generality of parameter tuning in evolutionary planning
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Optimizing genetic operator rates using a markov chain model of genetic algorithms
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Towards automated selection of estimation of distribution algorithms
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Clustering-based hierarchical genetic algorithm for complex fitness landscapes
International Journal of Intelligent Systems Technologies and Applications
Autonomous operator management for evolutionary algorithms
Journal of Heuristics
Off-line vs. on-line tuning: a study on MAX–MIN ant system for the TSP
ANTS'10 Proceedings of the 7th international conference on Swarm intelligence
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
On-the-fly calibrating strategies for evolutionary algorithms
Information Sciences: an International Journal
Analysis of exploration and exploitation in evolutionary algorithms by ancestry trees
International Journal of Innovative Computing and Applications
Instance-based parameter tuning for evolutionary AI planning
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Analyzing bandit-based adaptive operator selection mechanisms
Annals of Mathematics and Artificial Intelligence
Operator self-adaptation in genetic programming
EuroGP'11 Proceedings of the 14th European conference on Genetic programming
From adaptive to more dynamic control in evolutionary algorithms
EvoCOP'11 Proceedings of the 11th European conference on Evolutionary computation in combinatorial optimization
Self-adaptation techniques applied to multi-objective evolutionary algorithms
LION'05 Proceedings of the 5th international conference on Learning and Intelligent Optimization
Evolutionary algorithm parameter tuning with sensitivity analysis
SIIS'11 Proceedings of the 2011 international conference on Security and Intelligent Information Systems
Artificial Intelligence in Medicine
Evolutionary operator self-adaptation with diverse operators
EuroGP'12 Proceedings of the 15th European conference on Genetic Programming
A dynamic island model for adaptive operator selection
Proceedings of the 14th annual conference on Genetic and evolutionary computation
An exploration-exploitation compromise-based adaptive operator selection for local search
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Intelligent acoustic rotor speed estimation for an autonomous helicopter
Applied Soft Computing
Adaptive directed mutation for real-coded genetic algorithms
Applied Soft Computing
It's fate: a self-organising evolutionary algorithm
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part II
A comparison of operator utility measures for on-line operator selection in local search
LION'12 Proceedings of the 6th international conference on Learning and Intelligent Optimization
Learn-and-Optimize: a parameter tuning framework for evolutionary AI planning
EA'11 Proceedings of the 10th international conference on Artificial Evolution
Which algorithm should i choose at any point of the search: an evolutionary portfolio approach
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Non stationary operator selection with island models
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Parameter control: strategy or luck?
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Exploration and exploitation in evolutionary algorithms: A survey
ACM Computing Surveys (CSUR)
A robust real-coded genetic algorithm using an ensemble of crossover operators
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Telescoping strategies for improved parameter estimation of environmental simulation models
Computers & Geosciences
Information Sciences: an International Journal
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One of the main difficulties of applying an evolutionary algorithm (or, as a matter of fact, any heuristic method) to a given problem is to decide on an appropriate set of parameter values. Typically these are specified before the algorithm is run and include population size, selection rate, operator probabilities, not to mention the representation and the operators themselves. This book gives the reader a solid perspective on the different approaches that have been proposed to automate control of these parameters as well as understanding their interactions. The book covers a broad area of evolutionary computation, including genetic algorithms, evolution strategies, genetic programming, estimation of distribution algorithms, and also discusses the issues of specific parameters used in parallel implementations, multi-objective evolutionary algorithms, and practical consideration for real-world applications. It is a recommended read for researchers and practitioners of evolutionary computation and heuristic methods.