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Using Genetic Algorithm with Combinational Crossover to Solve Travelling Salesman Problem
2015
Proceedings of the 7th International Joint Conference on Computational Intelligence
The article is devoted to the study and development of modified bioinspired algorithm and the experimental studies of its characteristics to solve the travelling salesman problem. This algorithm is part of the swarm intelligence method, which is one of bioinspired approaches describing the collective behavior of a decentralized self-organizing system and consists of a multitude of agents (ants), locally interacting between each other and the environment. Ants belong to social insects living
doi:10.5220/0005590201490156
dblp:conf/ijcci/Al-Dallal15
fatcat:hmqfb22azzbxfj4xrunkvuqerm