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A niching co-swarm gravitational search algorithm for multi-modal optimization
- Issue Date
- 2015
- Publisher
- Springer Verlag
- Keywords
- Differential evolution; Gravitational search algorithm; Multi-modal; Optimization
- Citation
- Advances in Intelligent Systems and Computing, v.335, pp.599 - 607
- Indexed
- SCOPUS
- Journal Title
- Advances in Intelligent Systems and Computing
- Volume
- 335
- Start Page
- 599
- End Page
- 607
- ISSN
- 2194-5357
- Abstract
- In this paper, a Niching co-swarm gravitational search algorithm (CoGSA) is designed for solving multi-modal optimization problems. The collective approach of Gravitational Search Algorithm and differential evolution (DE) is used to solve multi-modal optimization problems. A set of twelve multi-modal problems are taken from a benchmark set of CEC 2013. An experimental study has been performed to evaluate the availability of CoGSA over these twelve problems. The performance is measured in an advanced way. It has been observed that CoGSA provides good solution for multi-modal optimization problems. © Springer India 2015.
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