Affiliations: [a]
School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China
| [b]
Center for System Reliability and Safety, University of Electronic Science and Technology of China, Chengdu, China
| [c]
School of Information Engineering, Dalian Fishery University, Dalian, China
Correspondence:
[*]
Corresponding author. Yan-Feng Li, Center for System Reliability and Safety, University of Electronic Science and Technology of China, Chengdu 611731, China. E-mail: yanfengli@uestc.edu.cn.
Abstract: An interactive preference-based evolutionary algorithm is proposed to solve multi-criteria satisfactory optimization problems. Using the proposed method, Decision Makers (DMs) can easily obtain the preferred parts of the actual Pareto front. Based on the satisfactory theory, the feasible region is constructed to evaluate the obtained candidates in terms of satisfactory degree. Furthermore, optimal weights are generated by minimizing the weighted ℓp -norm of the conflicting satisfactory and unsatisfying candidates, to form the evaluation function by which the next generation would evolve towards the preferred optimization solutions. The layout optimization of a retrievable satellite module is used to verify the effectiveness of proposed method.
