SSPMO: A Scatter Tabu Search Procedure for Non-Linear Multiobjective Optimization

SSPMO: A Scatter Tabu Search Procedure for Non-Linear Multiobjective Optimization

0.00 Avg rating0 Votes
Article ID: iaor200916814
Country: United States
Volume: 19
Issue: 1
Start Page Number: 91
End Page Number: 100
Publication Date: Jan 2007
Journal: INFORMS Journal On Computing
Authors: , , ,
Keywords: programming: multiple criteria
Abstract:

We describe the development and testing of a metaheuristic procedure, based on the scatter–search methodology, for the problem of approximating the efficient frontier of nonlinear multiobjective optimization problems with continuous variables. Recent applications of scatter search have shown its merit as a global optimization technique for single–objective problems. However, the application of scatter search to multiobjective optimization problems has not been fully explored in the literature. We test the proposed procedure on a suite of problems that have been used extensively in multiobjective optimization. Additional tests are performed on instances that are an extension of those considered classic. The tests indicate that our adaptation of scatter search is a viable alternative for multiobjective optimization.

Reviews

Required fields are marked *. Your email address will not be published.