Improved Optimization Algorithm of Ant Colony

Yun-hong Zhao

doi:10.2991/icsste-16.2016.98

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Improved Optimization Algorithm of Ant Colony

Yun-hong Zhao

Year: 2016

DOI: 10.2991/icsste-16.2016.98

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Abstract

The mechanisms and basic principles about ant colony algorithm is researched, and in system point of view such characteristics as positive feedback, self-organizing systems, and distributed computing of the ant colony algorithm are analyzed.Analysis, verify and classify improved optimization algorithm of ant colony in detail by TSP-Ei151 in MATLAB 7.6; It shows this algorithm superior to AS in convergence, global and number of iterations.

Keywords:

Ant colony optimization algorithms Computer science Convergence (economics) MATLAB Ant colony Parallel metaheuristic Artificial bee colony algorithm Algorithm Point (geometry) Mathematical optimization Meta-optimization Metaheuristic Artificial intelligence Mathematics

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Advanced Algorithms and Applications

Physical Sciences → Engineering → Control and Systems Engineering

Metaheuristic Optimization Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Wireless Sensor Networks and IoT

Physical Sciences → Engineering → Control and Systems Engineering

Improved Optimization Algorithm of Ant Colony

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