A Computational Approach to Essential and Nonessential Objective Functions in Linear Multicriteria Optimization - Maple Application Center
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A Computational Approach to Essential and Nonessential Objective Functions in Linear Multicriteria Optimization

Author
: Prof. Delfim Torres
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Authors: Prof. Agnieszka B. Malinowska and Prof. Delfim F. M. Torres The question of obtaining well-defined criteria for multiple criteria decision making problems is well-known. One of the approaches dealing with this question is the concept of nonessential objective function. A certain objective function is called nonessential if the set of efficient solutions is the same both with or without that objective function. In this work we put together two methods for determining nonessential objective functions. A computational implementation is done using the computer algebra system Maple.

Application Details

Publish Date: December 23, 2008
Created In: Maple 10
Language: English

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