Multidisciplinary and Multi-Objective Design Optimization Based on Adaptive Weighted-Sum Method
LI Dong-qin
Abstract
LI Dong-qin
Abstract
To resolve the problems involving high coupling,low computation efficiency and difficulties in obtaining optimal solution with designers’ preferences,a new algorithm for collaborative optimization(CO) and multi-objective design optimization(MODO) based on adaptive weighted-sum method was proposed.The basic ideas and optimization process were presented.Closely combined with the practical engineering experiences,the MODO problems were transformed to comprehensive objective design optimization problem,featuring with designers’ preferences.Then,collaborative optimization model was constructed by adopting adaptive weighted-sum method as optimization strategy so that the optimal solution featuring with designers’ preferences was obtained.Finally,taking the Tanaka problem and multidisciplinary and multi-objective design optimization for offshore supply vessel as example,the proposed method was proved to resolve the non-inferior solution of MODO effectively.
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To resolve the problems involving high coupling,low computation efficiency and difficulties in obtaining optimal solution with designers’ preferences,a new algorithm for collaborative optimization(CO) and multi-objective design optimization(MODO) based on adaptive weighted-sum method was proposed.The basic ideas and optimization process were presented.Closely combined with the practical engineering experiences,the MODO problems were transformed to comprehensive objective design optimization problem,featuring with designers’ preferences.Then,collaborative optimization model was constructed by adopting adaptive weighted-sum method as optimization strategy so that the optimal solution featuring with designers’ preferences was obtained.Finally,taking the Tanaka problem and multidisciplinary and multi-objective design optimization for offshore supply vessel as example,the proposed method was proved to resolve the non-inferior solution of MODO effectively.
Key concepts: Multidisciplinary design optimization, Mathematical optimization, Engineering optimization, Optimization problem, Computation, Computer science, Continuous optimization, Adaptive optimization