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期刊论文
A Heuristic Genetic Algorithm for Subcontractor Selection in a Global Manufacturing Environment
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In this paper, we present an investigation of how partner selection problems may be optimized by the use of a precedence network of subprojects. At the start, the problem is described by a model with the subscript-type of variables and nonanalytical objective function. It cannot be solved by general mathematical programming methods. By using the fuzzy rule quantification method, a fuzzy logic based decision making approach for the project scheduling is proposed. We then develop a fuzzy decision embedded heuristic genetic algorithm (GA/FD) to find the solution for partner selection. The approach was demonstrated by the use of an experimental example drawn from a coal fire power station construction project. The results show us that the suggested approach is possible to quickly achieve optimal solution for large size problems.
【免责声明】以下全部内容由[汪定伟]上传于[2005年03月07日 22时41分25秒],版权归原创者所有。本文仅代表作者本人观点,与本网站无关。本网站对文中陈述、观点判断保持中立,不对所包含内容的准确性、可靠性或完整性提供任何明示或暗示的保证。请读者仅作参考,并请自行承担全部责任。
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