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Population-Based Optimization Algorithms for Solving the Travelling Salesman Problem

Downloads: 39         Pages: 35

Published: 1 year ago

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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.

ABOUT THE AUTHOR

Mohammad Reza Bonyadi, Mostafa Rahimi Azghadi, Arr

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