In this paper, we propose the use of a cultural algorithm combined with evolutionary programming to exploit knowledge extracted during the search. Such exploitation of knowledge allows the evolutionary programming implementation to produce very good results at a relatively low computational cost.
CITATION STYLE
Coello Coello, C. A., & Becerra, R. L. (2002). Constrained Optimization Using an Evolutionary Programming-based Cultural Algorithm. In Adaptive Computing in Design and Manufacture V (pp. 317–328). Springer London. https://doi.org/10.1007/978-0-85729-345-9_27
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