CV19T, A NOVEL BIO-SOCIALLY INSPIRED METHOD, BELONGING TO A NEW NATURE-INSPIRED METAHEURISTICS CLASS

Abstract

The paper presents CV19T, a novel bio-socially inspired meta-heuristic, 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, CV19T shows 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.