A parallel implementation of an artificial immune system to handle constraints in genetic algorithms: Preliminary results

C. A. Coello Coello; N. Cruz Cortes

doi:10.1109/CEC.2002.1007031

A parallel implementation of an artificial immune system to handle constraints in genetic algorithms: Preliminary results

C. A. Coello Coello, N. Cruz Cortes

Research output: Contribution to conference › Paper › peer-review

36 Scopus citations

Abstract

We present a parallel version of a constraint-handling technique based on the artificial immune system. The proposed approach does not require penalty factors of any kind, it is relatively simple to implement and it is quite competitive with more sophisticated techniques. Additionally, when parallelized using an island scheme, the approach not only reduces its computational time, but it also improves the quality of the results produced.

Original language	English
Pages	819-824
Number of pages	6
DOIs	https://doi.org/10.1109/CEC.2002.1007031
State	Published - 2002
Externally published	Yes
Event	2002 Congress on Evolutionary Computation, CEC 2002 - Honolulu, HI, United States Duration: 12 May 2002 → 17 May 2002

Conference

Conference	2002 Congress on Evolutionary Computation, CEC 2002
Country/Territory	United States
City	Honolulu, HI
Period	12/05/02 → 17/05/02

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10.1109/CEC.2002.1007031

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abstract = "We present a parallel version of a constraint-handling technique based on the artificial immune system. The proposed approach does not require penalty factors of any kind, it is relatively simple to implement and it is quite competitive with more sophisticated techniques. Additionally, when parallelized using an island scheme, the approach not only reduces its computational time, but it also improves the quality of the results produced.",

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N2 - We present a parallel version of a constraint-handling technique based on the artificial immune system. The proposed approach does not require penalty factors of any kind, it is relatively simple to implement and it is quite competitive with more sophisticated techniques. Additionally, when parallelized using an island scheme, the approach not only reduces its computational time, but it also improves the quality of the results produced.

AB - We present a parallel version of a constraint-handling technique based on the artificial immune system. The proposed approach does not require penalty factors of any kind, it is relatively simple to implement and it is quite competitive with more sophisticated techniques. Additionally, when parallelized using an island scheme, the approach not only reduces its computational time, but it also improves the quality of the results produced.

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M3 - Artículo

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Y2 - 12 May 2002 through 17 May 2002

ER -

A parallel implementation of an artificial immune system to handle constraints in genetic algorithms: Preliminary results

Abstract

Conference

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