Schema recombination in pattern recognition problems
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Proceedings of the third international conference on Genetic algorithms
Evaluating evolutionary algorithms
Artificial Intelligence - Special volume on empirical methods
Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis
Artificial Intelligence Review
Analysis of speciation and niching in the multi-niche crowding GA
Theoretical Computer Science - Special issue on evolutionary computation
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Numerical Optimization of Computer Models
Numerical Optimization of Computer Models
Uniform Crossover in Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Forking Genetic Algorithm with Blocking and Shrinking Modes (fGA)
Proceedings of the 5th International Conference on Genetic Algorithms
Finding Multimodal Solutions Using Restricted Tournament Selection
Proceedings of the 6th International Conference on Genetic Algorithms
Strategy Adaption by Competing Subpopulations
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
A Comparative Study of Steady State and Generational Genetic Algorithms
Selected Papers from AISB Workshop on Evolutionary Computing
A New Genetic Algorithm Using Large Mutation Rates and Population-Elitist Selection (GALME)
ICTAI '96 Proceedings of the 8th International Conference on Tools with Artificial Intelligence
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
Genetic diversity as an objective in multi-objective evolutionary algorithms
Evolutionary Computation
Predictive models for the breeder genetic algorithm i. continuous parameter optimization
Evolutionary Computation
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
Combining mutation operators in evolutionary programming
IEEE Transactions on Evolutionary Computation
Fitness sharing and niching methods revisited
IEEE Transactions on Evolutionary Computation
An empirical study on the synergy of multiple crossover operators
IEEE Transactions on Evolutionary Computation
Entropy-Boltzmann selection in the genetic algorithms
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
GSA: A Gravitational Search Algorithm
Information Sciences: an International Journal
Computers and Operations Research
A hybrid genetic algorithm with the Baldwin effect
Information Sciences: an International Journal
Avoiding premature convergence in estimation of distribution algorithms
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Multi-criteria genetic optimisation of the manoeuvres of a two-stage launcher
Information Sciences: an International Journal
Generating probabilistic Boolean networks from a prescribed stationary distribution
Information Sciences: an International Journal
A two-stage algorithm in evolutionary product unit neural networks for classification
Expert Systems with Applications: An International Journal
Mutation Hopfield neural network and its applications
Information Sciences: an International Journal
Ectropy of diversity measures for populations in Euclidean space
Information Sciences: an International Journal
Quantum-inspired evolutionary algorithms: a survey and empirical study
Journal of Heuristics
Information Sciences: an International Journal
Handling boundary constraints for particle swarm optimization in high-dimensional search space
Information Sciences: an International Journal
Information Sciences: an International Journal
Application of Genetic Algorithm in unit selection for Malay speech synthesis system
Expert Systems with Applications: An International Journal
Migration and replacement policies for preserving diversity in dynamic environments
EvoApplications'12 Proceedings of the 2012t European conference on Applications of Evolutionary Computation
A multiset genetic algorithm for the optimization of deceptive problems
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Exploration and exploitation in evolutionary algorithms: A survey
ACM Computing Surveys (CSUR)
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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In this paper, we propose a replacement strategy for steady-state genetic algorithms that considers two features of the candidate chromosome to be included into the population: a measure of the contribution of diversity to the population and the fitness function. In particular, the proposal tries to replace an individual in the population with worse values for these two features. In this way, the diversity of the population becomes increased and the quality of the solutions gets better, thus preserving high levels of useful diversity. Experimental results show the proposed replacement strategy achieved significant performance for problems with different difficulties, with regards to other replacement strategies presented in the literature.