Population-Based Optimization Algorithms for Solving the Travelling Salesman Problem
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Author: Mohammad Reza Bonyadi, Mostafa Rahimi Azghadi, Arr
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Pages: 35
Published: 11 years agoRating: Rated: 0 times Rate It
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A study on the application of population based optimization algorithms such as Evolutionary Algorithms (EA), Ant Colony Optimization Algorithms (ACO), Particle Swarm Optimization Algorithms (PSO), Intelligent Water-Drops Algorithm (IWD), Artificial Immune Systems (AIS), Bee Colony Optimization Algorithms (BCO) and the Electromagnetism-like Mechanisms (EM) to solve the traveling salesman problem.
