Abstract
Abstract Recently, multi-objective optimization (MOP) has been highly required to deal with complex and global decision environment toward agile and flexible manufacturing. To facilitate its wide application, we developed a novel method named MOON2 (Multi-Objective optimization with value function mode led by Neural Network) as a Web-based application. By that, everyone can engage in MOP readily and easily regardless of knowledge about MOP and computer configuration of users. In this paper, we introduce MOON2R (MOON2 using Radial Basis Function (RBF) networks) that has more flexible modeling ability of value function. After outlining the solution procedure of MOON2R, the proposed system configuration will be explained with an illustration.
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