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 ?
2002 July) "Fitness Function Design to improve Evolutionary Structural Testing", Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 02), New York (NY), USA.
Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients," IEEE Transaction on Evolutionary Computation, vol.
Evolutionary computation includes 4 typical methods of genetic algorithm, genetic programming, evolutionary strategy and evolutionary programming.
Langdon, "A Fast High Quality Pseudo Random Number Generator for nVidia CUDA", in Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers, New York, NY, USA, 2009, pp.
Macready, "No free lunch theorems for optimization," IEEE Transactions on Evolutionary Computation, vol.
Dempsey, "Introducing grammar based extensions for grammatical evolution," in Proceedings of the IEEE Congress on Evolutionary Computation (CEC '06), pp.
Approximating the Nondominated Front using the Pareto Archived Evolution Strategy Evolutionary Computation, 8(2), pp.
Differential evolution algorithm with strategy adaptation for global numerical optimization, IEEE Transactions on Evolutionary Computation t, 13 (2) 398-417.
A New Adaptive Inertia Weight Strategy in Particle Swarm Optimization", IEEE Congress on Evolutionary Computation (CEC), 2007.
Multiobjective evolutionary algorithms: A survey of the state of the art, Swarm and Evolutionary Computation, Vol.
T, "Selective pressure in evolutionary algorithms: a characterization of selection mechanisms", In Evolutionary Computation, 1994, IEEE World Congress on Computational Intelligence, 1994(1):57-62.
Special sessions focus on data mining for info-communication services, evolutionary computation in image and signal processing, evaluation of web information and human actions, wireless sensing systems, signal processing for social welfare, and experiences with software engineering.

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