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EMO
2006
Springer

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

9 years 3 months ago
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 ...
Kalyanmoy Deb, Shamik Chaudhuri
Added 22 Aug 2010
Updated 22 Aug 2010
Type Conference
Year 2006
Where EMO
Authors Kalyanmoy Deb, Shamik Chaudhuri
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