공학 설계에서 매개변수 설정이 필요 없는 메타휴리스틱 전역 탐색 방법

다국어 초록 (Multilingual Abstract)

Applications of global optimization techniques such as metaheuristics in engineering are recently reported in a lot of literatures. The problems to tackle are constrained optimization problems and are hence hard to solve. Furthermore, the metaheuristic algorithms have several to many algorithmic parameters to be set by a user. Engineers have very little domain knowledge of their problems and setting of the algorithmic parameters is a difficult task. One remedy for this trouble is a development of parameter-less algorithm. One of such algorithms developed recently is Jaya and it shows a prospective performance with a simple single-step method. This study proposes a combined algorithm to adopt Jaya, augment capability of handling constraints, and enhance its performance. The constraint handling should also be parameter-less and algorithmic enhancement is achieved by adding a differential evolution technique. The proposed algorithm has been applied to five engineering design problems. The proposed method shows comparable in convergence and superior performance in robustness to the original method.

목차 (Table of Contents)

• ABSTRACT
• 1. 서론
• 2. Jaya알고리즘의 개선
• 3. 구속 조건의 처리 방법
• 4. 성능 평가 및 수치 실험
• 5. 결론
• References

참고문헌 (Reference)

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