A Novel Chaotic Interior Search Algorithm for Global Optimization and Feature Selection
Interior Search Algorithm (ISA) is a recently proposed metaheuristic inspired by the beautification of objects and mirrors. However, similar to most of the metaheuristic algorithms, ISA also encounters two problems, i.e., entrapment in local optima and slow convergence speed. In the past, chaos theo...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2020-03-01
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| Series: | Applied Artificial Intelligence |
| Online Access: | http://dx.doi.org/10.1080/08839514.2020.1712788 |