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Optimization Algorithm Based on Biology Life Cycle Theory
- Source :
- Intelligent Computing Theories and Technology ISBN: 9783642394812, ICIC (2)
- Publication Year :
- 2013
- Publisher :
- Springer Berlin Heidelberg, 2013.
-
Abstract
- Bio-inspired optimization algorithms have been widely used to solve various scientific and engineering problems. Inspired by biology life cycle, this paper presents a novel optimization algorithm called Lifecycle-based Swarm Optimization. LSO algorithm simulates biologic life cycle process through six optimization operators: chemotactic, assimilation, transposition, crossover, selection and mutation. Experiments were conducted on 7 unimodal functions. The results demonstrate remarkable performance of the LSO algorithm on those functions when compared to several successful optimization techniques.
Details
- ISBN :
- 978-3-642-39481-2
- ISBNs :
- 9783642394812
- Database :
- OpenAIRE
- Journal :
- Intelligent Computing Theories and Technology ISBN: 9783642394812, ICIC (2)
- Accession number :
- edsair.doi...........023b612072298603be2e70517140be52