Multiple criteria facility location problems: A survey
TLDR
A review on recent efforts and development in multi-criteria location problems in three categories including bi-objective, multiobjective and multi-attribute problems and their solution methods is provided in this article.About:
This article is published in Applied Mathematical Modelling.The article was published on 2010-07-01 and is currently open access. It has received 551 citations till now. The article focuses on the topics: Facility location problem.read more
Citations
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Survey: Covering problems in facility location: A review
TL;DR: This survey tries to review all aspects of the covering problems by stressing the works after Schilling, Jayaraman, and Barkhi (1993).
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Discrete location theory
TL;DR: In this article, the authors propose a method for solving the p-center problem on trees and demonstrate the duality of covering and constraining p-Center problems on trees.
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ELECTRE: A comprehensive literature review on methodologies and applications
TL;DR: The aim is to investigate how ELECTRE and ELECTRE-based methods have been considered in various areas, including area of applications, modifications to the methods, comparisons with other methods, and general studies of the ELECTRE methods.
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An STEEP-fuzzy AHP-TOPSIS framework for evaluation and selection of thermal power plant location: A case study from India
TL;DR: In this paper, an STEEP-fuzzy AHP-TOPSIS based framework for evaluation and selection of optimal locations for thermal power plant (TPPs) is proposed, where potential feasible locations are identified based on social, technical, economical, environmental, and political (STEEP) considerations.
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A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level
TL;DR: In this article, a stochastic multi-objective model for forward/reverse logistic network design under a uncertain environment including three echelons in forward direction (i.e., suppliers, plants, and distribution centers) and two echelon in backward direction (e.g., collection centers and disposal centers).
References
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A fast and elitist multiobjective genetic algorithm: NSGA-II
TL;DR: This paper suggests a non-dominated sorting-based MOEA, called NSGA-II (Non-dominated Sorting Genetic Algorithm II), which alleviates all of the above three difficulties, and modify the definition of dominance in order to solve constrained multi-objective problems efficiently.
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Muiltiobjective optimization using nondominated sorting in genetic algorithms
N. Srinivas,Kalyanmoy Deb +1 more
TL;DR: Goldberg's notion of nondominated sorting in GAs along with a niche and speciation method to find multiple Pareto-optimal points simultaneously are investigated and suggested to be extended to higher dimensional and more difficult multiobjective problems.
Book
Multiple Objective Decision Making ― Methods and Applications: A State-of-the-Art Survey
Ching-Lai Hwang,Kwangsun Yoon +1 more
TL;DR: On MADM Methods Classification.