An interactive evolutionary multi-objective optimization and decision making procedure

Chaudhuri, Shamik ; Deb, Kalyanmoy (2010) An interactive evolutionary multi-objective optimization and decision making procedure Applied Soft Computing, 10 (2). pp. 496-511. ISSN 1568-4946

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With the advent of efficient techniques for multi-objective evolutionary optimization (EMO), real-world search and optimization problems are being increasingly solved for multiple conflicting objectives. During the past decade of research and application, most emphasis has been spent on finding the complete Pareto-optimal set, although EMO researchers were always aware of the importance of procedures which would help choose one particular solution from the Pareto-optimal set for implementation. This is also one of the main issues on which the classical and EMO philosophies are divided on. In this paper, we address this long-standing issue and suggest an interactive EMO procedure which will involve a decision-maker in the evolutionary optimization process and help choose a single solution at the end. This study uses many year's of research on EMO and would hopefully encourage both practitioners and researchers to pay more attention in viewing the multi-objective optimization as a aggregate task of optimization and decision-making.

Item Type:Article
Source:Copyright of this article belongs to Elsevier Science.
Keywords:Multi-Objective Optimization; Multiple Objective Decision Making; Hybrid Optimization; NSGA-II; Robust Optimization
ID Code:75160
Deposited On:22 Dec 2011 03:14
Last Modified:22 Dec 2011 03:14

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