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Abstrakty
The paper presents CV19T, a novel bio-socially inspired metaheuristic, wherethe cornerstone on which rests is the relationship between humans crowdingdensity, on one side, influenced by their mobility, mutual attractiveness to eachother and individual consciousness, and on the other side, the amazing speedof COVID-19 propagation. CV19T originality resides in the fact of combin-ing features from two completely distinct and famous classes, namely: swarmintelligence and Evolutionary Algorithms. Moreover, CV19T extends elitismconcept (i.e. survival of the most powerful), on which are based courant evo-lutionist approaches to the survival of the most beneficial one. Also, CV19Tshows that additional parameters can increase control of its behaviour, in manycases, leading to rise in its results relevance. To validate CV19T, it was testedon benchmarks set, including 23 functions (unimodal, multimodal and fixed-dimensional multimodal) and 4 real-world problems.
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Czasopismo
Rocznik
Tom
Strony
1--45
Opis fizyczny
Bibliogr. 60 poz., rys., tab., wykr.
Twórcy
autor
- Mustapha Ben Boulaid University, Computer Science Departement, Mathematics andComputer Science Faculty, Batna, Algeria
autor
- Mustapha Ben Boulaid University, LAMIE laboratory, Computer Science Departement,Mathematics and Computer Science Faculty, Batna, Algeria
autor
- Mustapha Ben Boulaid University, Computer Science Departement, Mathematics andComputer Science Faculty, Batna, Algeria
Bibliografia
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-40481035-4a7b-477a-97f8-a9d3dec18e46