Abstract
In recent years the Maximum Entropy Principle has been used to develop radically new approaches to various classes of optimization problems such as those of scalar non-linear constrained optimization, vector and minimax optimization. In this paper two new entropy-based approaches are developed, proved and applied to the problem of generating Pareto optimal solution sets for general multi-criteria optimization problems. The solution algorithms are applied to several test problems.
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© 1996 Springer-Verlag Berlin Heidelberg
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Sultan, A.M., Templeman, A.B. (1996). Generation of Pareto Solutions by Entropy-Based Methods. In: Tamiz, M. (eds) Multi-Objective Programming and Goal Programming. Lecture Notes in Economics and Mathematical Systems, vol 432. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-87561-8_13
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DOI: https://doi.org/10.1007/978-3-642-87561-8_13
Publisher Name: Springer, Berlin, Heidelberg
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