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 …
Metaheuristic algorithms on feature selection: A survey of one decade of research (2009-2019)
Feature selection is a critical and prominent task in machine learning. To reduce the
dimension of the feature set while maintaining the accuracy of the performance is the main …
dimension of the feature set while maintaining the accuracy of the performance is the main …
White Shark Optimizer: A novel bio-inspired meta-heuristic algorithm for global optimization problems
This paper presents a novel meta-heuristic algorithm so-called White Shark Optimizer
(WSO) to solve optimization problems over a continuous search space. The core ideas and …
(WSO) to solve optimization problems over a continuous search space. The core ideas and …
Horse herd optimization algorithm: A nature-inspired algorithm for high-dimensional optimization problems
This paper proposes a new meta-heuristic algorithm inspired by horses' herding behavior for
high-dimensional optimization problems. This method, called the Horse herd Optimization …
high-dimensional optimization problems. This method, called the Horse herd Optimization …
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 …
Gaining-sharing knowledge based algorithm for solving optimization problems: a novel nature-inspired algorithm
AW Mohamed, AA Hadi, AK Mohamed - International Journal of Machine …, 2020 - Springer
This paper proposes a novel nature-inspired algorithm called Gaining Sharing Knowledge
based Algorithm (GSK) for solving optimization problems over continuous space. The GSK …
based Algorithm (GSK) for solving optimization problems over continuous space. The GSK …
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 …
A brief review of nature-inspired algorithms for optimization
Swarm intelligence and bio-inspired algorithms form a hot topic in the developments of new
algorithms inspired by nature. These nature-inspired metaheuristic algorithms can be based …
algorithms inspired by nature. These nature-inspired metaheuristic algorithms can be based …
Metaheuristics—the metaphor exposed
K Sörensen - International Transactions in Operational …, 2015 - Wiley Online Library
In recent years, the field of combinatorial optimization has witnessed a true tsunami of
“novel” metaheuristic methods, most of them based on a metaphor of some natural or man …
“novel” metaheuristic methods, most of them based on a metaphor of some natural or man …
Nature inspired meta heuristic algorithms for optimization problems
VC SS, A HS - Computing, 2022 - Springer
Optimization and decision making problems in various fields of engineering have a major
impact in this current era. Processing time and utilizing memory is very high for the currently …
impact in this current era. Processing time and utilizing memory is very high for the currently …