Particle swarm with extended memory for multiobjective optimization

2003 IEEE Swarm Intelligence Symposium, SIS 2003 - Proceedings

Volumn , Issue , 2003, Pages 193-197

  Hu, Xiaohui ^a,b   Eberhart, R C ^b   Shi, Yuhui ^c  

^a PURDUE UNIVERSITY   (United States)

^b Indiana University Purdue University Indianapolis   (United States)

^c EDS Embeded Systems Group   (United States)

Author keywords

Benchmark testing; Biomedical engineering; Equations; Evolutionary computation; Optimization methods; Particle swarm optimization; Random number generation; Stochastic processes

Indexed keywords

BIOMEDICAL ENGINEERING; EVOLUTIONARY ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION; PARETO PRINCIPLE; RANDOM NUMBER GENERATION; RANDOM PROCESSES; STOCHASTIC SYSTEMS; SWARM INTELLIGENCE;

BENCHMARK TESTING; DYNAMIC NEIGHBORHOOD; EQUATIONS; MULTI-OBJECTIVE OPTIMIZATION PROBLEM; MULTI-OBJECTIVE OPTIMIZATION TECHNIQUES; MULTIPLE-OBJECTIVES; OPTIMIZATION METHOD; PARETO OPTIMAL SOLUTIONS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84942099370     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIS.2003.1202267     Document Type: Conference Paper

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