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A New Ant Colony Algorithm for Minimum Vertex Cover Problem

عنوان مقاله: A New Ant Colony Algorithm for Minimum Vertex Cover Problem
شناسه ملی مقاله: ICIORS03_108
منتشر شده در سومین کنفرانس بین المللی انجمن تحقیق در عملیات ایران در سال 1388
مشخصات نویسندگان مقاله:

Mohammad M. Javidi - Shahid Bahonar University of Kerman-Department of Computer Science,
Saeed Mehrabi - Shahid Bahonar University of Kerman - Department of Computer Science

خلاصه مقاله:
In this paper, we propose a meta-heuristic based on Ant Colony Optimization (ACO) approach, called MVC-AC, to find approximate solutions to the minimum vertex cover problem which is an important optimization problem in graph theory with many applications. We compare our algorithm with two existing algorithms which are based on Genetic Algorithms (GAs) as well as its testing on a variety of benchmarks. Computational experiments evidence that the ACO algorithm demonstrates much effectiveness and consistency for solving the minimum vertex cover problem.

کلمات کلیدی:
Algorithmic Graph Theory, Combinatorial Optimization, Minimum Vertex Cover Problem,Ant Colony Optimization Algorithms

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/671023/