Web-based Application for Multi-Objective Optimization in Process Systems

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 MOON (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 MOON (MOON using Radial Basis Function (RBF) networks) that has more flexible modeling ability of value function. After outlining the solution procedure of MOON, the proposed system configuration will be explained with an illustration.