Proceedings of the fourth international conference on Genetic algorithms
Proceedings of the fourth international conference on Genetic algorithms
Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Evolution and Optimum Seeking: The Sixth Generation
Evolution and Optimum Seeking: The Sixth Generation
Proceedings of the Third European Conference on Advances in Artificial Life
Proceedings of the Third European Conference on Advances in Artificial Life
Contemporary Evolution Strategies
Proceedings of the Third European Conference on Advances in Artificial Life
Orgy in the Computer: Multi-Parent Reproduction in Genetic Algorithms
Proceedings of the Third European Conference on Advances in Artificial Life
The Usefulness of Recombination
Proceedings of the Third European Conference on Advances in Artificial Life
Parallel Genetic Algorithms Population Genetics and Combinatorial Optimization
Proceedings of the 3rd International Conference on Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
Building Better Test Functions
Proceedings of the 6th International Conference on Genetic Algorithms
Genetic algorithms with multi-parent recombination
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
Multi-Parent's Niche: n-ary Crossovers on NK-Landscapes
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
An overview of evolutionary algorithms for parameter optimization
Evolutionary Computation
Toward a theory of evolution strategies: On the benefits of sex---the (μ/μ, λ) theory
Evolutionary Computation
A note on the empirical evaluation of intermediate recombination
Evolutionary Computation
A computationally efficient evolutionary algorithm for real-parameter optimization
Evolutionary Computation
Statistical Characteristics of Evolution Strategies
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
Using Statistical Techniques to Predict GA Performance
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
A Fitness Estimation Strategy for Genetic Algorithms
IEA/AIE '02 Proceedings of the 15th international conference on Industrial and engineering applications of artificial intelligence and expert systems: developments in applied artificial intelligence
Smoothness, ruggedness and neutrality of fitness landscapes: from theory to application
Advances in evolutionary computing
Multiparent recombination in evolutionary computing
Advances in evolutionary computing
Real-coded memetic algorithms with crossover hill-climbing
Evolutionary Computation - Special issue on magnetic algorithms
Univariate marginal distribution algorithms for non-stationary optimization problems
International Journal of Knowledge-based and Intelligent Engineering Systems
Improving crossover operator for real-coded genetic algorithms using virtual parents
Journal of Heuristics
Designing multi-rover emergent specialization
Proceedings of the 10th annual conference on Genetic and evolutionary computation
OPEDo: a tool for the optimization of performance and dependability models
ACM SIGMETRICS Performance Evaluation Review
CIXL2: a crossover operator for evolutionary algorithms based on population features
Journal of Artificial Intelligence Research
Investigation of the fitness landscapes and multi-parent crossover for graph bipartitioning
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Analytical and numerical comparisons of biogeography-based optimization and genetic algorithms
Information Sciences: an International Journal
On Evolutionary Exploration and Exploitation
Fundamenta Informaticae
Impact of different recombination methods in a mutation-specific MOEA for a biochemical application
EvoBIO'13 Proceedings of the 11th European conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
A Modified micro Genetic Algorithm for undertaking Multi-Objective Optimization Problems
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Recent Advances in Soft Computing: Theories and Applications
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An extension of evolution strategies to multiparent recombination involving a variable number ρ of parents to create an offspring individual is proposed. The extension is experimentally evaluated on a test suite of functions differing in their modality and separability and the regular/irregular arrangement of their local optima. Multiparent diagonal crossover and uniform scanning crossover and a multiparent version of intermediary recombination are considered in the experiments. The performance of the algorithm is observed to depend on the particular combination of recombination operator and objective function. In most of the cases a significant increase in performance is observed as the number of parents increases. However, there might also be no significant impact of recombination at all, and for one of the unimodal objective functions, the performance is observed to deteriorate over the course of evolution for certain choices of the recombination operator and the number of parents. Additional experiments with a skewed initialization of the population clarify that intermediary recombination does not cause a search bias toward the origin of the coordinate system in the case of domains of variables that are symmetric around zero.