دورية أكاديمية

A comparative evaluation of swarm intelligence techniques for solving combinatorial optimization problems

التفاصيل البيبلوغرافية
العنوان: A comparative evaluation of swarm intelligence techniques for solving combinatorial optimization problems
المؤلفون: Julius Odili, Mohd Nizam Mohmad Kahar, A Noraziah, Syafiq F Kamarulzaman
المصدر: International Journal of Advanced Robotic Systems, Vol 14 (2017)
بيانات النشر: SAGE Publishing, 2017.
سنة النشر: 2017
المجموعة: LCC:Electronics
LCC:Electronic computers. Computer science
مصطلحات موضوعية: Electronics, TK7800-8360, Electronic computers. Computer science, QA75.5-76.95
الوصف: This article presents a critical evaluation of swarm intelligence techniques for solving combinatorial optimization problems. Since, unarguably, the traveling salesman’s problem is the most developed, studied, and popular combinatorial problem, this study uses it as a benchmark. After a number of experimental investigations involving 24 popular but complex benchmark symmetric traveling salesman’s problem instances and 15 asymmetric traveling salesman’s problem of the 19 instances available in TSPLIB95, the African buffalo optimization proved to be the best algorithm in terms of efficiency and effectiveness in solving the problems under investigation.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1729-8814
17298814
08141258
العلاقة: https://doaj.org/toc/1729-8814Test
DOI: 10.1177/1729881417705969
الوصول الحر: https://doaj.org/article/7f8212fdf0814125872bda3facdaedbdTest
رقم الانضمام: edsdoj.7f8212fdf0814125872bda3facdaedbd
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:17298814
08141258
DOI:10.1177/1729881417705969