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 …
Metaheuristics: a comprehensive overview and classification along with bibliometric analysis
Research in metaheuristics for global optimization problems are currently experiencing an
overload of wide range of available metaheuristic-based solution approaches. Since the …
overload of wide range of available metaheuristic-based solution approaches. Since the …
Northern goshawk optimization: a new swarm-based algorithm for solving optimization problems
Optimization algorithms are one of the effective stochastic methods in solving optimization
problems. In this paper, a new swarm-based algorithm called Northern Goshawk …
problems. In this paper, a new swarm-based algorithm called Northern Goshawk …
Zebra optimization algorithm: A new bio-inspired optimization algorithm for solving optimization algorithm
In this paper, a new bio-inspired metaheuristic algorithm called Zebra Optimization
Algorithm (ZOA) is developed; its fundamental inspiration is the behavior of zebras in nature …
Algorithm (ZOA) is developed; its fundamental inspiration is the behavior of zebras in nature …
Tasmanian devil optimization: a new bio-inspired optimization algorithm for solving optimization algorithm
In this paper, a new bio-inspired metaheuristic algorithm called Tasmanian Devil
Optimization (TDO) is designed that mimics Tasmanian devil behavior in nature. The …
Optimization (TDO) is designed that mimics Tasmanian devil behavior in nature. The …
A new bio-inspired metaheuristic algorithm for solving optimization problems based on walruses behavior
This paper introduces a new bio-inspired metaheuristic algorithm called Walrus Optimization
Algorithm (WaOA), which mimics walrus behaviors in nature. The fundamental inspirations …
Algorithm (WaOA), which mimics walrus behaviors in nature. The fundamental inspirations …
Comprehensive taxonomies of nature-and bio-inspired optimization: Inspiration versus algorithmic behavior, critical analysis recommendations
In recent algorithmic family simulates different biological processes observed in Nature in
order to efficiently address complex optimization problems. In the last years the number of …
order to efficiently address complex optimization problems. In the last years the number of …
[PDF][PDF] Attack-Leave Optimizer: A New Metaheuristic that Focuses on The Guided Search and Performs Random Search as Alternative.
This paper introduces a new metaphor-free metaheuristic called attack-leave optimizer
(ALO). As the name suggests, ALO deploys two strategies to find the optimal solution. The …
(ALO). As the name suggests, ALO deploys two strategies to find the optimal solution. The …
Clouded leopard optimization: a new nature-inspired optimization algorithm
This paper proposes a new nature-inspired metaheuristic algorithm called Clouded Leopard
Optimization (CLO), which mimics the natural behavior of clouded leopards in the wild. The …
Optimization (CLO), which mimics the natural behavior of clouded leopards in the wild. The …
Fennec fox optimization: a new nature-inspired optimization algorithm
This paper proposes a new nature-based metaheuristic algorithm called Fennec Fox
Optimization (FFA), mimicking two natural behaviors of the animal Fennec Fox in nature …
Optimization (FFA), mimicking two natural behaviors of the animal Fennec Fox in nature …