This paper proposes a new metaheuristic algorithm called dwarf mongoose optimization
algorithm (DMO) to solve the classical and CEC 2020 benchmark functions and 12 …

A novel swarm intelligence optimization algorithm is proposed, which is named alpine skiing
optimization (ASO). The main inspiration of the ASO originated from the behaviors of skiers …

This paper proposes as an element of novelty the Unified Form (UF) clustering algorithm,
which treats Fuzzy C-Means (FCM) and K-Means (KM) algorithms as a single configurable …

Abstract Coronavirus disease 2019 (COVID-19) is pervasive worldwide, posing a high risk to
people's safety and health. Many algorithms were developed to identify COVID-19. One way …

This paper introduces the Human Evolutionary Optimization Algorithm (HEOA), a
metaheuristic algorithm inspired by human evolution. HEOA divides the global search …

The principal motivation of the marine predators algorithm (MPA) is the common foraging
technique, including Lévy and Brownian motions in ocean predators coupled with optimal …

This paper proposes a modified version of the Dwarf Mongoose Optimization Algorithm
(IDMO) for constrained engineering design problems. This optimization technique modifies …

In smart environments, traditional information management approaches are often unsuitable
to tackle with the needed elaborations due to the amount and the high dynamicity of entities …

In this paper, a new metaheuristic optimization algorithm, called social network search
(SNS), is employed for solving mixed continuous/discrete engineering optimization …

This paper proposes a hybrid version of marine predator algorithm (MPA) and naked mole-
rat algorithm (NMRA) to aggregate the strengths of both algorithms. The new proposed …