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arXiv · 2203.11487

Overview and Applications of GPGPU Based Parallel Ant Colony Optimization

Sandeep U Mane·Pooja S. Lokare·Harsha R. Gaikwad
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Abstract

Ant Colony Optimization algorithm is a magnificent heuristics technique based on the behavior of ants. Parallel computing is a means to achieve the desired results in commensurable execution time. Parallelization of Ant Colony Optimization is utilized to solve large and complex problems. This paper discusses a review of different parallelization approaches for Ant Colony Optimization and its various applications. Parallel Ant Colony Optimization has proved to be a successful approach for highly constrained problems such as routing, scheduling, timetabling, etc. Parallelization of Ant Colony Optimization reduces the execution time, increases the size of the problem, etc.

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Sandeep U Mane, Pooja S. Lokare, Harsha R. Gaikwad. 2022-03-22. Overview and Applications of GPGPU Based Parallel Ant Colony Optimization. https://arxiv.org/abs/2203.11487

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