A chaotic-based improved many-objective Jaya algorithm for many-objective optimization problems
The Jaya algorithm is a recently developed novel population-based algorithm. The proposed work presents the modifications in the existing many-objective Jaya (MaOJaya) algorithm by integrating the chaotic sequence to improve the performance to optimize many-objective benchmark optimization problems....
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Growing Science
2021-01-01
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| Series: | International Journal of Industrial Engineering Computations |
| Online Access: | http://www.growingscience.com/ijiec/Vol12/IJIEC_2020_22.pdf |