Benchmark Studies on Multi-Objective Evolutionary Programming (MOEP) using Mutation Based on Adaptive Mutation Operator (AMO) and Polynomial Mutation Operator (PMO)
The performance of a Multi-Objective Evolutionary Programming (MOEP) is significantly dependent on the parameter setting of the operator. These parameters tend to change the characteristic of adaptive in different stages of evolutionary process. The intention of this paper is to create adaptive cont...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/11913/ http://umpir.ump.edu.my/id/eprint/11913/7/Benchmark%20studies%20on%20Multi-Objective%20Evolutionary%20Programming%20%28MOEP%29%20using%20Mutation%20Based%20on%20Adaptive%20Mutation%20Operator%20%28AMO%29%20and%20Polynomial%20Mutation%20Operator%20%28PMO%29-abstract.pdf http://umpir.ump.edu.my/id/eprint/11913/1/Benchmark%20studies%20on%20Multi-Objective%20Evolutionary%20Programming%20%28MOEP%29%20using%20Mutation%20Based%20on%20Adaptive%20Mutation%20Operator%20%28AMO%29%20and%20Polynomial%20Mutation%20Operator%20%28PMO%29.pdf |