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JOURNALS // Sibirskii Zhurnal Vychislitel'noi Matematiki // Archive

Sib. Zh. Vychisl. Mat., 2008 Volume 11, Number 1, Pages 29–39 (Mi sjvm31)

This article is cited in 1 paper

Interval entropy method for equality constrained multiobjective optimization problems

Hai-jun Wangab, De-xin Caob, Su-bei Lib

a Nanjing University of Aeronautics and Astronautics
b China University of Mining and Technology

Abstract: Based on the maximum entropy principle and the idea of penalty function, an evaluation function to solve multiobjective optimization problems with equality constraints is given. Combining with interval analysis method, we define generalized Krawczyk operator, design interval iteration with constrained functions and new region deletion test rules, present an interval algorithm for equality constrained multiobjective optimization problems, and also prove relevant properties. The theoretic analysis and numerical results indicate that the algorithm is effective and reliable.

Key words: multiobjective optimization, equality constraints, generalized Krawczyk operator, maximum entropy function, interval algorithm.

MSC: 90Ñ30

Received: 25.10.2005
Revised: 14.02.2007

Language: English


 English version:
Numerical Analysis and Applications, 2008, 1:1, 25–33


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