Integrated Optimization of Differential Evolution with Grasshopper Optimization Algorithm
- DOI
- 10.2991/jrnal.2018.5.3.5How to use a DOI?
- Keywords
- Meta-heuristic; differential evolution algorithm; grasshopper optimization algorithm; optimization
- Abstract
This paper proposes a scheme to improve the differential evolution (DE) algorithm performance with integrated the grasshopper optimization algorithm (GOA). The grasshopper optimization algorithm mimics the behavior of grasshopper. The characteristic of grasshoppers is slow movement in the larval stage but sudden movement in the adulthood which seem as exploration and exploitation. The grasshopper optimization algorithm concept is added to DE to guide the search process for potential solutions. The efficiency of the DE/GOA is validated by testing on unimodal and multimodal benchmarks optimization problems. The results prove that the DE/GOA algorithm is competitive compared to the other meta-heuristic algorithms.
- Copyright
- © 2018 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
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TY - JOUR AU - Duangjai Jitkongchuen AU - Udomlux Ampant PY - 2018 DA - 2018/12/01 TI - Integrated Optimization of Differential Evolution with Grasshopper Optimization Algorithm JO - Journal of Robotics, Networking and Artificial Life SP - 165 EP - 168 VL - 5 IS - 3 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.2018.5.3.5 DO - 10.2991/jrnal.2018.5.3.5 ID - Jitkongchuen2018 ER -