공급사슬 모델과 알려진 함수를 이용한 MOPSO의 거리 정보 및 파레토 지배 개념 분석

다국어 초록 (Multilingual Abstract)

This paper evaluates Multi-Objective Particle Swarm Optimization(MOPSO) techniques. MOPSO methods mainly use concepts based on the metric information or the pareto dominance concept to optimize multi-objective functions. One of the most typical methods which use the metric information is Sigma method. One of the most typical methods which use the pareto dominance concept is PROB. This paper tests the two methods using a known function and a supply chain model. Also ANOVA tests using a 5% significance level are performed in SPSS to examine significant performance changes between two methods.

목차 (Table of Contents)

• 1. 서론
• 2. MOPSO 기법
• 3. 실험 및 결과 분석
• 4. 결론 및 추후 연구과제
• 참고문헌

참고문헌 (Reference)

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