作者: M. BALACHANDRAN , J. S. GERO
DOI: 10.1080/03052158408960646
关键词:
摘要: This paper describes and compares three approaches to solving design optimization problems with multiple conflicting objectives. The techniques are described in detail then applied lo an example which demonstrates how information is accumulated leads a logical efficient multicriteria optimal design. employed (weighting, noninferior set estimation constraint methods) ate compared each other by considering their computational efficiencies abilities produce approximation of the Pareto set.