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Comparison of IBEA and NSGA-II on MOTSP
Journal: International Journal of Science and Research (IJSR) (Vol.6, No. 3)Publication Date: 2017-03-05
Authors : Gerbie Atsede Mitiku;
Page : 1492-1495
Keywords : Multi-objective traveling salesman problem; Indicator-Based Evolutionary Algorithm IBEA; Non-dominated Sorting based Genetic Algorithm II NSGA-II;
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Abstract
Multi-objective traveling salesman problem (MOTSP) is a well-known NP hard problem. In this paper, IBEA and NSGA-II algorithm is proposed to solve the MOTSP and compare the result of each algorithm and find a better algorithm based on the execution time it takes to find the Pareto-optimal solutions. The result shows that even though the two algorithm finds the true pare to front NSGA_II is better algorithm for MOTSP problem compare to IBEA
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