EFFICIENT STRUCTURES OF ACHIEVEMENT FUNCTIONS FOR GOAL PROGRAMMING MODELS

Ching-Ter Chang ()
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Ching-Ter Chang: National Changhua University of Education, Department of Information Management, Paisa Village, Changhua 50058, Taiwan

Asia-Pacific Journal of Operational Research (APJOR), 2007, vol. 24, issue 06, 755-764

Abstract: Following the idea of Li (1996), Romero (2004) and Chang (2006), this paper proposes several efficient structures of achievement functions for goal programming and interval goal programming models. These proposed structures of achievement functions are more efficient than the traditional structures of achievement functions such as Lexicographic, Weight, MINMAX (Chebyshev) and interval achievement functions. The structures of achievement functions are comprehensive in terms of the breath of goal programming and interval goal programming. In order to demonstrate the superiority of the proposed methods in terms of the number of iterations and execution time, a computational experiment was conducted on a set of generated test examples.

Keywords: Goal programming; interval goal programming; achievement function (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (3)

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DOI: 10.1142/S0217595907001516

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