Efficient Multiobjective Genetic Algorithm for Solving Transportation, Assignment, and Transshipment Problems

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Applied Mathematics

ISSN Print: 2152-7385
ISSN Online: 2152-7393
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E-mail: am@scirp.org

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"Efficient Multiobjective Genetic Algorithm for Solving Transportation, Assignment, and Transshipment Problems"
written by Sayed A. Zaki, Abd Allah A. Mousa, Hamdy M. Geneedi, Adel Y. Elmekawy,
published by Applied Mathematics, Vol.3 No.1, 2012

has been cited by the following article(s):

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[17]	ADAPTATION OF THE MOMA-PLUS METHOD TO THE RESOLUTION OF TRANSPORTATION AND ASSIGNMENT PROBLEMS
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[26]	THE MULTI-CRITERIA FRACTIONAL TRANSPORTATION PROBLEM WITH FUZZY" BOTTLENECK" CONDITION.
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[27]	Comparison Between Goal Programming And Genetic Algorithm In Multi-Objective Transportation Problem
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[28]	Lexicographic Approach For Quadratic Transportation Problem With Additional Restriction
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[29]	Fuzzy Efficient Interactive Goal Programming Approach for Multi-objective Transportation Problems
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[30]	SOLVING MULTI-OBJECTIVE TRANSPORTATION PROBLEM USING FUZZY PROGRAMMING TECHNIQUE-PARALLEL METHOD
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[31]	Development and Comparison of Hybrid Genetic Algorithms for Network Design Problem in Closed Loop Supply Chain
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[32]	Evaluation of Heuristic Algorithms for Solving a Transportation Problem
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[37]	An Algorithm for Solving Bi-criteria Large Scale Transshipment Problems
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[1]	Solving a multi-objective solid transportation problem: a comparative study of alternative methods for decision-making Journal of Engineering and Applied Science, 2023 DOI:10.1186/s44147-023-00247-z

[2]	A simple method to find optimum efficient basic solutions to bi-objective transportation problems i-manager’s Journal on Mathematics, 2022 DOI:10.26634/jmat.11.1.18668

[3]	A Comprehensive Literature Review on Transportation Problems International Journal of Applied and Computational Mathematics, 2021 DOI:10.1007/s40819-021-01134-y

[4]	Detecting All Non-Dominated Points for Multi-Objective Multi-Index Transportation Problems Sustainability, 2021 DOI:10.3390/su13031372

[5]	Proceedings of the Fifth International Conference on Mathematics and Computing Advances in Intelligent Systems and Computing, 2021 DOI:10.1007/978-981-15-5411-7_11

[6]	Detecting All Non-Dominated Points for Multi-Objective Multi-Index Transportation Problems Sustainability, 2021 DOI:10.3390/su13031372

[7]	Fundamentals of Transportation Problem International Journal of Engineering and Advanced Technology, 2021 DOI:10.35940/ijeat.E2654.0610521

[8]	A Comprehensive Literature Review on Transportation Problems International Journal of Applied and Computational Mathematics, 2021 DOI:10.1007/s40819-021-01134-y

[9]	An intelligent computing technique based on a dynamic-size subpopulations for unit commitment problem OPSEARCH, 2019 DOI:10.1007/s12597-019-00388-x

[10]	Analysis of multicriteria transportation problem connected to minimization of means of transport number applied in a selected example WUT Journal of Transportation Engineering, 2018 DOI:10.5604/01.3001.0013.7349

[11]	Prediction of Route Choosing Behavior Based on Genetic Algorithm Approach 2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES), 2018 DOI:10.1109/INES.2018.8523917

[12]	A multi-objective transportation model under neutrosophic environment Computers & Electrical Engineering, 2018 DOI:10.1016/j.compeleceng.2018.02.024

[13]	A comparative study of artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) models in distribution system with nondeterministic inputs International Journal of Engineering Business Management, 2018 DOI:10.1177/1847979018768421

[14]	Advances in Human Aspects of Transportation Advances in Intelligent Systems and Computing, 2017 DOI:10.1007/978-3-319-41682-3_51

[15]	Development and Comparison of Hybrid Genetic Algorithms for Network Design Problem in Closed Loop Supply Chain Intelligent Information Management, 2015 DOI:10.4236/iim.2015.76025

[16]	Cooperative particle swarm optimization for multiobjective transportation planning Applied Intelligence, 2013 DOI:10.1007/s10489-012-0405-5

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