An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges
As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
A systematic review of the whale optimization algorithm: theoretical foundation, improvements, and hybridizations
Despite the simplicity of the whale optimization algorithm (WOA) and its success in solving
some optimization problems, it faces many issues. Thus, WOA has attracted scholars' …
some optimization problems, it faces many issues. Thus, WOA has attracted scholars' …
Prairie dog optimization algorithm
This study proposes a new nature-inspired metaheuristic that mimics the behaviour of the
prairie dogs in their natural habitat called the prairie dog optimization (PDO). The proposed …
prairie dogs in their natural habitat called the prairie dog optimization (PDO). The proposed …
Genghis Khan shark optimizer: a novel nature-inspired algorithm for engineering optimization
This study tenders a new nature-inspired metaheuristic algorithm (MA) based on the
behavior of the Genghis Khan shark (GKS), called GKS optimizer (GKSO), which is used for …
behavior of the Genghis Khan shark (GKS), called GKS optimizer (GKSO), which is used for …
Dwarf mongoose optimization algorithm
This paper proposes a new metaheuristic algorithm called dwarf mongoose optimization
algorithm (DMO) to solve the classical and CEC 2020 benchmark functions and 12 …
algorithm (DMO) to solve the classical and CEC 2020 benchmark functions and 12 …
Gazelle optimization algorithm: a novel nature-inspired metaheuristic optimizer
This study proposes a novel population-based metaheuristic algorithm called the Gazelle
Optimization Algorithm (GOA), inspired by the gazelles' survival ability in their predator …
Optimization Algorithm (GOA), inspired by the gazelles' survival ability in their predator …
Crayfish optimization algorithm
This paper proposes a meta heuristic optimization algorithm, called Crayfish Optimization
Algorithm (COA), which simulates crayfish's summer resort behavior, competition behavior …
Algorithm (COA), which simulates crayfish's summer resort behavior, competition behavior …
Ebola optimization search algorithm: A new nature-inspired metaheuristic optimization algorithm
Nature computing has evolved with exciting performance to solve complex real-world
combinatorial optimization problems. These problems span across engineering, medical …
combinatorial optimization problems. These problems span across engineering, medical …
An improved whale optimization algorithm based on multi-population evolution for global optimization and engineering design problems
The whale optimization algorithm (WOA) tends to suffer from slow convergence speed and
quickly falling into the local optimum. In this work, a WOA variant is proposed based on multi …
quickly falling into the local optimum. In this work, a WOA variant is proposed based on multi …
Gannet optimization algorithm: A new metaheuristic algorithm for solving engineering optimization problems
Engineering design problems are usually large-scale constrained optimization problems,
and metaheuristic algorithms are vital for solving such complex problems. Therefore, this …
and metaheuristic algorithms are vital for solving such complex problems. Therefore, this …