Bi-objective optimization of dynamic systems by continuation methods

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• 作者：Tobias Keß ; ler^a ; ^{kesslert@mpi-magdeburg.mpg.de} ; Filip Logist^b ; Michael Mangold^c
• 关键词：Multi-objective optimization ; Continuation techniques ; Karush&ndash ; Kuhn&ndash ; Tucker conditions ; Fritz&ndash ; John conditions ; Scalarization ; Pareto front
• 刊名：Computers & Chemical Engineering
• 出版年：2017
• 出版时间：4 March 2017
• 年：2017
• 卷：98
• 期：Complete
• 页码：89-99
• 全文大小：1861 K
• 卷排序：98

文摘

A novel approach for solving multi-objective optimization problems is proposed. The algorithm is able to compute non-convex as well as convex Pareto fronts of large-scale dynamical optimization problems. Problems induced by inequality constraints are handled. The algorithm is tested successfully on two case studies.