A non-genetic algorithm for solving multi-objective decision-making problems

Hengyan Li; Shuizhen Chang; Zhonghai Xu

A non-genetic algorithm for solving multi-objective decision-making problems

Hengyan Li^*
, Shuizhen Chang
, Zhonghai Xu

^*Corresponding author for this work

School of Astronautics

North China University of Water Resources and Electric Power
Luoyang Normal University
Jilin University

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

Multi-objective decision-making problems have been widely applied to business, financial investment, transportation, optimal routing design, environment protection, and military strategies. In this paper, we give a non-genetic algorithm for solving multi-objective decision-making problems. Under suitable conditions, a smooth path will be proven to exist. This can lead to an implementable globally convergent algorithm. We also give some numerical examples to illustrate the effectiveness of the algorithm in this paper.

Original language	English
Pages (from-to)	7401-7408
Number of pages	8
Journal	Journal of Computational Information Systems
Volume	8
Issue number	17
State	Published - 1 Sep 2012

Keywords

Globally convergent algorithm
Multi-objective decision-making problems
Smooth path

Cite this

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AB - Multi-objective decision-making problems have been widely applied to business, financial investment, transportation, optimal routing design, environment protection, and military strategies. In this paper, we give a non-genetic algorithm for solving multi-objective decision-making problems. Under suitable conditions, a smooth path will be proven to exist. This can lead to an implementable globally convergent algorithm. We also give some numerical examples to illustrate the effectiveness of the algorithm in this paper.

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KW - Multi-objective decision-making problems

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A non-genetic algorithm for solving multi-objective decision-making problems

Abstract

Keywords

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