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https://ptsldigital.ukm.my/jspui/handle/123456789/395041| Title: | Augmenting SPEA2 with k-random competitive coevolution for enhanced evolutionary multi-objective optimization |
| Authors: | Tse Guan Tan Hui Keng Lau Jason Teo |
| Conference Name: | International Symposium on Information Technology |
| Keywords: | SPEA2 K-random competitive Multiobjective Evolutionary Algorithm (MOEA) |
| Conference Date: | 26/08/2008 |
| Conference Location: | Kuala Lumpur Convention Centre |
| Abstract: | One new algorithm is being proposed, which is the integration between one Multiobjective Evolutionary Algorithm (MOEA): Strength Pareto Evolutionary Algorithm 2 (SPEA2) and competitive coevolution using K-Random Opponents competitive fitness strategy. The resulting algorithm is referred to as SPEA2-CE-KR. This proposed algorithm was benchmarked against the original SPEA2 using seven DTLZ test problems having 3 to 5 objectives. Overall, reveal that SPEA2-CE-KR performed well for the spacing and coverage metrics. |
| Pages: | 6 |
| Call Number: | T58.5.C634 2008 kat sem j.3 |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE),Piscataway, US |
| Appears in Collections: | Seminar Papers/ Proceedings / Kertas Kerja Seminar/ Prosiding |
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