논문 해외 국제전문학술지(SCI급) Efficient Chaotic Imperialist Competitive Algorithm with Dropout Strategy for Global Optimization
- 학술지 구분 국제전문학술지(SCI급)
- 게재년월 2020-04
- 저자명 이정
- 학술지명 SYMMETRY-BASEL
- 발행처명 MDPI
- 발행국가 해외
- 논문언어 외국어
- 전체저자수 4
홈페이지논문 초록 (Abstract)
The imperialist competitive algorithm combined with chaos theory (CICA) demonstrates excellent performance in global optimization problems. However, its computational complexity increases with the introduction of chaotic maps. To address this, we integrate CICA with a dropout strategy that randomly samples the dimensions of each solution at each iteration of the computation. We investigate the potential of the proposed algorithm with different chaotic maps through six symmetric and six asymmetric benchmark functions. We also apply the proposed algorithm to AUVs` path planning application showing its performance and effectiveness in solving real problems. The simulation results show that the proposed algorithm not only has low computational complexity but also enhances local search capability near the globally optimal solution with an insignificant loss in the success rate.