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• W1491196670 abstract "The Traveling Salesman Problem (TSP) is to find a Hamiltonian tour of minimal length on a fully connected graph. The TSP is a NP-Complete, and there is no polynomial algorithm to find the optimal result. Many bio-inspired algorithms has been proposed to address this problem. Generally, generic algorithm (GA), ant colony optimization (ACO) and particle swarm optimization (PSO) are three typical bio-inspired algorithm for TSP. In this section we will give a brief introduction to the above three bio-inspired algorithms and their application to the TSP." @default.
• W1491196670 created "2016-06-24" @default.
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• W1491196670 date "2008-09-01" @default.
• W1491196670 modified "2023-10-04" @default.
• W1491196670 title "Bio-inspired Algorithms for TSP and Generalized TSP" @default.
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• W1491196670 doi "https://doi.org/10.5772/5583" @default.
• W1491196670 hasPublicationYear "2008" @default.
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