I-MODE: An Interactive Multi-objective Optimization and Decision-Making Using Evolutionary Methods

With the popularity of efficient multi-objective evolutionary optimization (EMO) techniques and the need for such problem-solving activities in practice, EMO methodologies and EMO research and application have received a great deal of attention in the recent past. The first decade of research in EMO area has been spent on developing efficient algorithms for finding a well-converged and well-distributed set of Pareto-optimal solutions, 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. In this paper, we address this long-standing issue and suggest an interactive EMO procedure by collating most salient research in EMO and putting together a step-by-step EMO and decision-making procedure. The idea is implemented in a GUI-based, user-friendly software which allows a user to supply the problem mathematically or by using user-defined macros and enables the user to evaluate ...

• Type: Conference
• Year: 2006
• Where: EMO
• Authors: Kalyanmoy Deb, Shamik Chaudhuri
• Keywords: EMO 2006, EMO Methodologies, EMO Research, Interactive Emo Procedure, Optimization