A chaos wolf optimization algorithm with self-adaptive variable step-size
To explore the problem of parameter optimization for complex nonlinear function, a chaos wolf optimization algorithm (CWOA) with self-adaptive variable step-size was proposed. The algorithm was based on the swarm intelligence of wolf pack, which fully simulated the predation behavior and prey distri...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2017-10-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/1.5005130 |