| 학회 | 한국화학공학회 |
| 학술대회 | 1999년 봄 (04/23 ~ 04/24, 성균관대학교) |
| 권호 | 5권 1호, p.553 |
| 발표분야 | 공정시스템 |
| 제목 | 화학공정의 글로벌 최적화를 위한 확률적 알고리듬 |
| 초록 | Chemical process optimization often leads to large and nonconvex NLP (Nonlinear Programming) problems that have many nonlinear equality constraints. Since the globaloptimization of a nonconvex NLP problem is an NP-hard problem, large problems cannotbe solved in a reasonable time span if we rely solely on deterministic algorithms whichare theoretically guaranteed to find the global optimum. Stochastic algorithms, which donot guarantee the global optimality of the obtained solution, are suitable for largeproblems, but not efficient when there exist too many equality constraints. Therefore, anew stochastic algorithm is proposed in this paper, which is suitable for globaloptimization of chemical processes. |
| 저자 | 최수형 |
| 소속 | 전북대 |
| 키워드 | Stochastic Algorithm; Global Optimization; Chemical Process; Nonlinear Programming; Infeasibility Minimization |
| 원문파일 | 초록 보기 |
