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 …
A survey on new generation metaheuristic algorithms
Metaheuristics are an impressive area of research with extremely important improvements in
the solution of intractable optimization problems. Major advances have been made since the …
the solution of intractable optimization problems. Major advances have been made since the …
Poor and rich optimization algorithm: A new human-based and multi populations algorithm
SHS Moosavi, VK Bardsiri - Engineering applications of artificial intelligence, 2019 - Elsevier
This paper presents a new optimization algorithm called poor and rich optimization (PRO).
This algorithm is inspired by the efforts of the two groups of the poor and the rich to achieve …
This algorithm is inspired by the efforts of the two groups of the poor and the rich to achieve …
The whale optimization algorithm
S Mirjalili, A Lewis - Advances in engineering software, 2016 - Elsevier
This paper proposes a novel nature-inspired meta-heuristic optimization algorithm, called
Whale Optimization Algorithm (WOA), which mimics the social behavior of humpback …
Whale Optimization Algorithm (WOA), which mimics the social behavior of humpback …
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 …
Hybridizing sine cosine algorithm with differential evolution for global optimization and object tracking
H Nenavath, RK Jatoth - Applied Soft Computing, 2018 - Elsevier
A new optimization algorithm called Hybrid Sine-Cosine Algorithm with Differential Evolution
algorithm (Hybrid SCA-DE) is proposed in this paper for solving optimization problems and …
algorithm (Hybrid SCA-DE) is proposed in this paper for solving optimization problems and …
[HTML][HTML] Mountaineering team-based optimization: A novel human-based metaheuristic algorithm
This paper proposes a novel optimization method for solving real-world optimization
problems. It is inspired by a cooperative human phenomenon named the mountaineering …
problems. It is inspired by a cooperative human phenomenon named the mountaineering …
An inclusive survey on marine predators algorithm: Variants and applications
Abstract Marine Predators Algorithm (MPA) is the existing population-based meta-heuristic
algorithms that falls under the category of Nature-Inspired Optimization Algorithm (NIOA) …
algorithms that falls under the category of Nature-Inspired Optimization Algorithm (NIOA) …
Intelligent optimization: Literature review and state-of-the-art algorithms (1965–2022)
A Mohammadi, F Sheikholeslam - Engineering Applications of Artificial …, 2023 - Elsevier
Today, intelligent optimization has become a science that few researchers have not used in
dealing with problems in their field. Diversity and flexibility have made the use, efficiency …
dealing with problems in their field. Diversity and flexibility have made the use, efficiency …