evolutionary computation


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evolutionary computation

[‚ev·ə¦lü·shə‚ner·ē ‚kam·pyə′tā·shən]
(computer science)

evolutionary computation

Computer-based problem solving systems that use computational models of evolutionary processes as the key elements in design and implementation.

A number of evolutionary computational models have been proposed, including evolutionary algorithms, genetic algorithms, the evolution strategy, evolutionary programming, and artificial life.

The Hitchhiker's Guide to Evolutionary Computation.

Bibliography.

Usenet newsgroup: news:comp.ai.genetic.
References in periodicals archive ?
Sinclair, "Classification rule mining for automatic credit approval using genetic programming," IEEE Congress on Evolutionary Computation, pp.
2016 A survey on Evolutionary Evolutionary computation computation approaches to was used for feature feature selection [7] selection and at the same time challenges were discussed.
[28] Wenyin Gong, Yong Wang, Zhihua Cai, and Shengxiang Yang, A Weighted Biobjective Transformation Technique for Locating Multiple Optimal Solutions of Nonlinear Equation, IEEE Transactions on Evolutionary Computation - October 2017
[15], CMA-ES is an evolutionary computation technique suitable for solving difficult nonlinear, nonconvex, and black-box optimization problems in continuous domains.
Deb, "An evolutionary many-objective optimization algorithm using reference-point based nondominated sorting approach, part II: handling constraints and extending to an adaptive approach," IEEE Transactions on Evolutionary Computation, vol.
Jain, "An evolutionary many-objective optimization algorithm using reference-point- based nondominated sorting approach, part I: solving problems with box constraints," IEEE Transactions on Evolutionary Computation, vol.
Molina, "Pareto-adaptive e-dominance," Evolutionary Computation, vol.
[12] Baresel, A., Sthamer, H., Schmidt, M., (2002 July) "Fitness Function Design to improve Evolutionary Structural Testing", Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 02), New York (NY), USA.
Zhang, "Multiobjective optimization problems with complicated pareto sets, MOEA/D and NSGA-II," IEEE Transactions on Evolutionary Computation, vol.
Fleming, "Pareto front estimation for decision making," Evolutionary Computation, vol.
Li, "Two-stage based ensemble optimization for large-scale global optimization," in Proceedings of the IEEE Congress on Evolutionary Computation (CEC '10), pp.

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