지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.9 No.5
- 발행연도
- 2020.10
- 수록면
- 391 - 398 (8page)
- DOI
- 10.5573/IEIESPC.2020.9.5.391
이용수
초록· 키워드
오류제보하기
The Non-dominated Sorted Genetic Algorithm III (NSGAIII) is known as an optimization algorithm with good efficiency and reliability in solving multi-objective optimization problems. However, in some cases, NSGAIII has been reported to have difficulties in maintaining diversity in the solutions for multi-objective optimization. In this study, we apply epsilon dominance (Ɛ-dominance) archiving to NSGAIII to enhance the algorithm’s efficiency and reliability. Ɛ-dominance NSGAIII (Ɛ-NSGAIII) was tested on standard evolutionary multi-objective optimization test problems. The results show that introducing Ɛ-dominance archiving can enhance the performance of the algorithm. Furthermore, the performance of Ɛ-NSGAIII was also compared to the original NSGAIII, Ɛ-NSGAII, and Ɛ-MOEA for a multi-objective Tour Guide Assignment Problem (TGAP).
목차
Abstract
1. Introduction
2. Background and related works
3. Methodology
4. Results and Discussion
5. Conclusion
References
참고문헌 (19)
참고문헌 신청
X. Yuan / 2015 / An extended NSGA-III for solution multi-objective hydro-thermal-wind scheduling considering wind power cost / Energy Conversion and Management 96:568~578
W. Mkaouer / 2015 / Many-Objective Software Remodularization Using NSGA-III / ACM Transactions on Software Engineering and Methodology(TOSEM) 24:17
M. Tavana / 2015 / Multiobjective control chart design optimization using NSGA-III and MOPSO enhanced with DEA and TOPSIS / Expert Systems with Applications
Deb, K / 2002 / A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II / IEEE Transactions on Evolutionary Computation 6(2):182~197
Deb. K / 2014 / An Evolutionary Many-objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems with Box Constraints / IEEE Transactions on Evolutionary Computation 18(4):577~601
W. Mkaouer / 2015 / Many-Objective Software Remodularization Using NSGA-III / ACM Transactions on Software Engineering and Methodology(TOSEM) 24:17
M. Tavana / 2015 / Multiobjective control chart design optimization using NSGA-III and MOPSO enhanced with DEA and TOPSIS / Expert Systems with Applications
Deb, K / 2002 / A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II / IEEE Transactions on Evolutionary Computation 6(2):182~197
Deb. K / 2014 / An Evolutionary Many-objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems with Box Constraints / IEEE Transactions on Evolutionary Computation 18(4):577~601
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