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A Modified MOEAD with an Adaptive Weight Adjustment Strategy
- Source :
- 2019 International Conference on Intelligent Computing, Automation and Systems (ICICAS).
- Publication Year :
- 2019
- Publisher :
- IEEE, 2019.
-
Abstract
- Multiobjective evolutionary algorithm based on decomposition (MOEA/D) is widely used to dispose multiobjective optimization problems (MOPs). The performance of MOEA/D is not ideal when deals with MOPs which are with degenerated curve. Aiming to this weakness, an adaptive weight adjustment strategy named BPO is proposed in this paper. In order to solve this problem, BPO strategy is based on the number of reference points referencing the archive. The results of tests show that MOEA/D with BPO strategy can obtain ideal performance. MOEA/D with BPO strategy can improves the weakness of MOEA/D effectively on MOPs which are with degenerated curve.
- Subjects :
- 0209 industrial biotechnology
Mathematical optimization
020901 industrial engineering & automation
Computer science
0202 electrical engineering, electronic engineering, information engineering
Evolutionary algorithm
020201 artificial intelligence & image processing
02 engineering and technology
Weight adjustment
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2019 International Conference on Intelligent Computing, Automation and Systems (ICICAS)
- Accession number :
- edsair.doi...........9fccda6583382e869bd878c0fa4f9994