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 …
Multiclass feature selection with metaheuristic optimization algorithms: a review
Selecting relevant feature subsets is vital in machine learning, and multiclass feature
selection is harder to perform since most classifications are binary. The feature selection …
selection is harder to perform since most classifications are binary. The feature selection …
[HTML][HTML] Thorough state-of-the-art analysis of electric and hybrid vehicle powertrains: Topologies and integrated energy management strategies
Hybrid and electric vehicles have been demonstrated as auspicious solutions for ensuring
improvements in fuel saving and emission reductions. From the system design perspective …
improvements in fuel saving and emission reductions. From the system design perspective …
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 …
Review of big data analytics, artificial intelligence and nature-inspired computing models towards accurate detection of COVID-19 pandemic cases and contact tracing
The emergence of the 2019 novel coronavirus (COVID-19) which was declared a pandemic
has spread to 210 countries worldwide. It has had a significant impact on health systems …
has spread to 210 countries worldwide. It has had a significant impact on health systems …
Gaining-sharing knowledge based algorithm for solving optimization problems: a novel nature-inspired algorithm
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 …
Nature-inspired algorithms for wireless sensor networks: A comprehensive survey
A Singh, S Sharma, J Singh - Computer Science Review, 2021 - Elsevier
In order to solve the critical issues in Wireless Sensor Networks (WSNs), with concern for
limited sensor lifetime, nature-inspired algorithms are emerging as a suitable method …
limited sensor lifetime, nature-inspired algorithms are emerging as a suitable method …
Swarm intelligence: A review of algorithms
A Chakraborty, AK Kar - … -inspired computing and optimization: Theory and …, 2017 - Springer
Swarm intelligence (SI), an integral part in the field of artificial intelligence, is gradually
gaining prominence, as more and more high complexity problems require solutions which …
gaining prominence, as more and more high complexity problems require solutions which …
Lion optimization algorithm (LOA): a nature-inspired metaheuristic algorithm
During the past decade, solving complex optimization problems with metaheuristic
algorithms has received considerable attention among practitioners and researchers …
algorithms has received considerable attention among practitioners and researchers …