arXiv Open Access 2022

Overview and Applications of GPGPU Based Parallel Ant Colony Optimization

Sandeep U Mane Pooja S. Lokare Harsha R. Gaikwad

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Abstrak

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.

Topik & Kata Kunci

cs.DC

Penulis (3)

Sandeep U Mane

Pooja S. Lokare

Harsha R. Gaikwad

Format Sitasi

APA MLA BibTeX

Mane, S.U., Lokare, P.S., Gaikwad, H.R. (2022). Overview and Applications of GPGPU Based Parallel Ant Colony Optimization. https://arxiv.org/abs/2203.11487

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Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓