A novel multi-objective particle swarm optimization with multiple search strategies

Author:

Lin Qiuzhen,Li JianqiangORCID,Du Zhihua,Chen Jianyong,Ming Zhong

Funder

National Nature Science Foundation of China

National High-Technology Research and Development Program

Ministry of Education in the New Century Excellent Talents Support Program

Foundation for Distinguished Young Talents in Higher Education of Guangdong

Shenzhen Technology Plan

Natural Science Foundation of SZU

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modeling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference40 articles.

1. A novel smart multi-objective particle swarm optimisation using decomposition;Moubayed;Parallel Problem Solving from Nature-PPSN XI, PT II, Lecture Notes in Computer Science,2010

2. d2mopso: Multi-objective particle swarm optimizer based on decomposition and dominance;Moubayed;Evolutionary Computation in Combinatorial Optimization, Notes in Computer Science,2012

3. D2MOPSO: MOPSO based on decomposition and dominance with archiving using crowding distance in objective and solution spaces;Moubayed;Evolutionary Computation,2014

4. The balance between proximity and diversity in multiobjective evolutionary algorithms;Bosman;IEEE Transactions on Evolutionary Computation,2003

5. A hybrid immune multiobjective optimization algorithm;Chen;European Journal of Operational Research,2010

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