conference paper
Comparison between genetic algorithms and particle swarm optimization
Russell C. Eberharta b, Yuhui Shia b
- aDepartment of Electrical Engineering, Indiana University Purdue University Indianapolis, 723 W. Michigan St., SL 160, 46202, Indianapolis, IN
- bDepartment of Electrical Engineering, Indiana University Purdue University Indianapolis, Indianapolis
Lecture notes in computer scienceSpringer Science+Business Media1998-01-01 1,845 citations11 references
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Abstract
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TL;DRThis paper compares two evolutionary computation paradigms: genetic algorithms and particle swarm optimization, and suggests ways in which performance might be improved by incorporating features from one paradigm into the other. (Semantic Scholar)