New Hybrid Evolutionary Algorithm for the Multi-Objective Traveling Salesman Problem (moTSP)


Abstract in English

In the Multi-objective Traveling Salesman Problem (moTSP) simultaneous optimization of more than one objective functions is required. This paper proposes hybrid algorithm to solve the multiobjectives Traveling Salesman problem through the integration of the ant colony optimization algorithm with the Genetic algorithm.

References used

Changdar-C., Mahapatra-G.S., Pal-R.K, 2014. An efficient genetic algorithm for multi-objective solid travelling salesman problem under fuzziness, Swarm and Evolutionary Computation. Pages 15, 27-37
Li-W.,2014. A parallel search system for dynamic multi-objective traveling salesman problem. Journal of Mathematics and System Science. Pages 4, 295-314
Wang-S., 2016. Multi-objective path finding in stochastic networks using a biogeography-based optimization method. Simulations of Urban Transportation Systems

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