Name
Abstract | ||
|---|---|---|
In this paper, we propose the integration between Strength Pareto Evolutionary Algorithm 2 (SPEA2) with two types of coevolution concept, Competitive Coevolution (CE) and Cooperative Coevolution (CC), to solve 3 dimensional multiobjective optimization problems. The resulting algorithms are referred to as Strength Pareto Evolutionary Algorithm 2 with Competitive Coevolution (SPEA2-CE) and Strength Pareto Evolutionary Algorithm 2 with Cooperative Coevolution (SPEA2-CC). The main objective of this paper is to compare competitive against cooperative coevolution to ascertain which coevolutionary approach is preferable for multiobjective optimization. The competitive coevolution will be implemented with K-Random Opponents strategy. The performances of SPEA2-CE and SPEA2-CC for solving triobjective problems using the DTLZ suite of test problems are presented. The results show that the cooperative approach far outperforms the competitive approach when used to augment SPEA2 for tri-objective optimization in terms of all the metrics (generational distance, spacing and coverage). |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74769-7_8 | LSMS (1) |
Keywords | Field | DocType |
dimensional multiobjective optimization problem,cooperative approach,coevolution concept,pareto multiobjective optimization,coevolutionary approach,competitive approach,strength pareto evolutionary algorithm,tri-objective optimization,competitive coevolution,multiobjective optimization,cooperative coevolution,3 dimensional,coevolution | Competitive coevolution,Coevolution,Mathematical optimization,Evolutionary algorithm,Biology,Generational distance,Cooperative coevolution,Multi-objective optimization,Artificial intelligence,Multiobjective optimization problem,Pareto principle | Conference |
Volume | ISSN | ISBN |
4688 | 0302-9743 | 3-540-74768-0 |
Citations | PageRank | References |
2 | 0.39 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tse Guan Tan | 1 | 17 | 3.52 |
| HuiKeng Lau | 2 | 23 | 5.43 |
| Jason Teo | 3 | 24 | 5.00 |