Using genetic algorithm and TOPSIS technique for multiobjective transportation problem: a hybrid approach

DOI10.1080/00207160902875262zbMath1206.65163OpenAlexW2044164720MaRDI QIDQ3066952

A. A. Mousa

Publication date: 20 January 2011

Published in: International Journal of Computer Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207160902875262

zbMATH Keywords

numerical examplesnetwork optimizationmultiobjective genetic algorithmsmultiobjective transportation problemepsilon dominance

Mathematics Subject Classification ID

Programming involving graphs or networks (90C35) Numerical mathematical programming methods (65K05) Multi-objective and goal programming (90C29) Stochastic programming (90C15) Transportation, logistics and supply chain management (90B06)

Related Items (2)

An application of FISM and TOPSIS to a multi-objective multi-item solid transportation problem ⋮ A chaos-based evolutionary algorithm for general nonlinear programming problems

Uses Software

• IT-CEMOP
• Genocop

Cites Work

• Comparison of weights in TOPSIS models
• IT-CEMOP: an iterative co-evolutionary algorithm for multiobjective optimization problem with nonlinear constraints
• Interactive solutions for the linear multiobjective transportation problem
• Multiple attribute decision making. Methods and applications. A state-of- the-art survey
• Fuzzy programming approach to multicriteria decision making transportation problem
• A multi-objective transportation problem under fuzziness
• A bicriteria solid transportation problem with fixed charge under stochastic environment
• A genetic algorithm for two-stage transportation problem using priority-based encoding
• A genetic algorithm for the linear transportation problem
• Bicriteria Transportation Problem
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