THE PERFORMANCE OF SOME META-HEURISTICS IN CONTINUOUS PROBLEMS STUDIED ACCORDING TO THE LOCATION OF THE OPTIMA IN THE SEARCH SPACE
Many hard optimization problems can only be effectively handled by meta-heuristic methods. Some continuous optimization problems have specific characteristics that demand a particular interest. These features include the location of the optima in a specific region of search space. Hence the main goal of this paper is assessing the performance of some outstanding population-based meta-heuristics on functions with optima on bounds and problems with optima off bounds. It is studied by taking a set of benchmark functions from the field of optimization as a point of departure.
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| Main Authors: | , , |
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| Format: | Digital revista |
| Language: | English |
| Published: |
Universidad Nacional de Colombia
2013
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| Online Access: | http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0012-73532013000400008 |
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