Design and analysis of Multi-objective Transportation Optimization problem using Evolutionary algorithms

  • S. Jose, C. Vijayalakshmi

Abstract

In this paper a major amount of work has been listed regarding about the optimization in transportation problem using evolutionary algorithms to get the best optimal solution. The Linear type optimization problem contains multi variable functions and set of constraints. In earlier days the optimization have been required in every industry for improvement of the business or other scientific results. Evolutionary algorithms is a heuristic algorithm and has been applied for various mathematical models to attain optimal results. The aim of the study is to find a Multi-objective Transportation Problem by Evolutionary Algorithm in numerical example by Vogel’s approximation method.

Keywords: Multi-objective problem, Evolutionary Algorithm, Multi-objective Transportation problem, Crossover, Mutation, VAM.

Published
2020-05-13
How to Cite
S. Jose, C. Vijayalakshmi. (2020). Design and analysis of Multi-objective Transportation Optimization problem using Evolutionary algorithms. International Journal of Advanced Science and Technology, 29(05), 5697 - 5703. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/15053