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CEC
2007
IEEE

Light beam search based multi-objective optimization using evolutionary algorithms

14 years 15 days ago
Light beam search based multi-objective optimization using evolutionary algorithms
Abstract— For the past decade or so, evolutionary multiobjective optimization (EMO) methodologies have earned wide popularity for solving complex practical optimization problems, simply due to their ability to find a representative set of Pareto-optimal solutions for mostly two, three, and some extent to four and five-objective optimization problems. Recently, emphasis has been made in addressing the decision-making activities in arriving at a single preferred solution. The multiple criteria decision making (MCDM) literature offers a number of possibilities for such a task involving user preferences which can be supplied in different forms. This paper presents an interactive methodology for finding a preferred set of solutions, instead of the complete Pareto-optimal frontier, by incorporating preference information of the decision maker. Particularly, we borrow the concept of light beam search and combine it with the NSGA-II procedure. The working of this procedure has been demons...
Kalyanmoy Deb, Abhay Kumar
Added 02 Jun 2010
Updated 02 Jun 2010
Type Conference
Year 2007
Where CEC
Authors Kalyanmoy Deb, Abhay Kumar
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