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 Chaotic Initialized Multiple Objective Differential Evolution with Adaptive Mutation Strategy (CA-MODE) for Construction Project Time-Cost-Quality Trade-Off
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Tác giả hoặc Nhóm tác giả: Min-Yuan Cheng, Duc-Hoc Tran, Minh-Tu Cao
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Nơi đăng: Journal of Civil Engineering and Management
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; Số: 0;Từ->đến trang: 1-12;Năm: 2015
Lĩnh vực: Kỹ thuật; Loại: Bài báo khoa học; Thể loại: Quốc tế
TÓM TẮT
ABSTRACT
Time, cost and quality are three factors playing an important role in the planning and controlling of construction. Trade-off optimization among them is significant for the improvement of the overall benefits of construction projects. In this paper, a novel optimization model, named as Chaotic Initialized Multiple Objective Differential Evolution with Adaptive Mutation Strategy (CA-MODE), is developed to deal with the time-cost-quality trade-off problems. The proposed algorithm utilizes the advantages of chaos sequences for generating an initial population and an external elitist archive to store non-dominated solutions found during the evolutionary process. In order to maintain the exploration and exploitation capabilities during various phases of optimization process, an adaptive mutation operation is introduced. A numerical case study of highway construction is used to illustrate the application of CA-MODE. It has been shown that non-dominated solutions generated by CA-MODE assist project managers in choosing appropriate plan which is otherwise hard and time-consuming to obtain. The comparisons with non-dominated sorting genetic algorithm (NSGA-II), multiple objective particle swarm optimization (MOPSO), multiple objective differential evolution (MODE) and previous results verify the efficiency and effectiveness of the proposed algorithm.
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