An Analytical Study for the Role of Fuzzy Logic in Improving Metaheuristic Optimization Algorithms

• Autorzy: Vij Sonakshi , Jain Amita , Tayal Devendra , Castillo Oscar

Identyfikatory

DOI

10.14313/JAMRIS_4-2018/22

• Języki publikacji: EN

Abstrakty

EN

The research applications of fuzzy logic have always been multidisciplinary in nature due to its ability in handling vagueness and imprecision. This paper presents an analytical study in the role of fuzzy logic in the area of metaheuristics using Web of Science (WoS) as the data source. In this case, 178 research papers are extracted from it in the time span of 1989-2016. This paper analyzes various aspects of a research publication in a scientometric manner. The top cited research papers, country wise contribution, topmost organizations, top research areas, top source titles, control terms and WoS categories are analyzed. Also, the top 3 fuzzy evolutionary algorithms are extracted and their top research papers are mentioned along with their topmost research domain. Since neuro fuzzy logic poses feasible options for solving numerous research problems, hence a section is also included by the authors to present an analytical study regarding research in it. Overall, this study helps in evaluating the recent research patterns in the field of fuzzy metaheuristics along with envisioning the future trends for the same. While on one hand this helps in providing a new path to the researchers who are beginners in this field as they can start exploring it through the analysis mentioned here, on the other hand it provides an insight to professional researchers too who can dig a little deeper in this field using knowledge from this study.

Słowa kluczowe

EN

fuzzy logic; metaheuristics; evolutionary computing; genetic algorithm; particle swarm optimization (PSO); ant colony optimization; fuzzy evolutionary algorithm; fuzzy cuckoo; fuzzy simulated annealing; fuzzy swarm intelligence; fuzzy differential evolution; tabu; fuzzy mutation; fuzzy natural selection; fuzzy fitness function; big bang big crunch; fuzzy bacterial; neuro fuzzy logic

PL

logika rozmyta; metaheurystyka; obliczenia ewolucyjne; algorytm genetyczny; optymalizacja roju cząstek; optymalizacja kolonii mrówek

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2018
• Tom: Vol. 12, No. 4
• Strony: 11--27
• Opis fizyczny: Bibliogr. 182, poz., rys.

Twórcy

autor

Vij Sonakshi

• Department of Computer Science Engineering, Indira Gandhi Delhi Technical University for Women, Delhi, India, 110006

autor

Jain Amita

• Department of Computer Science Engineering, Ambedkar Institute of advanced communication technologies and research, Delhi, India, 110031

autor

Tayal Devendra

• Department of Computer Science Engineering, Indira Gandhi Delhi Technical University for Women, Delhi, India, 110006

autor

Castillo Oscar

• Division of Graduate Studies and Research, Tijuana Institute of Technology, Mexico

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).