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1 2024

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CV19T, a novel bio-socially inspired method, belonging to a new nature-inspired metaheuristics class

Bouthina Saib, Abdessemed Mohamed-Rida, Hocine Riadh

Computer Science

2024

T. 25 (3)

351--396

The paper presents CV19T, a novel bio-socially inspired metaheuristic, where the cornerstone on which rests is the relationship between humans crowding density, on one side, influenced by their mobility, mutual attractiveness to each other and individual consciousness, and on the other side, the amazing speed of COVID-19 propagation. CV19T originality resides in the fact of combining features from two completely distinct and famous classes, namely: swarm intelligence and Evolutionary Algorithms. Moreover, CV19T extends elitism concept (i.e. survival of the most powerful), on which are based courant evolutionist approaches to the survival of the most beneficial one. Also, CV19Tshows that additional parameters can increase control of its behaviour, in many cases, leading to rise in its results relevance. To validate CV19T, it was tested on benchmarks set, including 23 functions (unimodal, multimodal and fixeddimensional multimodal) and 4 real-world problems.