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 …
Optimization based on performance of lungs in body: Lungs performance-based optimization (LPO)
The development of efficient optimization algorithms is crucial across various scientific
disciplines. As the complexity and diversity of optimization problems continue to grow …
disciplines. As the complexity and diversity of optimization problems continue to grow …
Strategies for enhancing the performance of news article classification in bangla: Handling imbalance and interpretation
The rapid increase in obtainable online text data has made text categorization an important
tool for data analysts to extract relevant information on the web. However, incorrect or …
tool for data analysts to extract relevant information on the web. However, incorrect or …
Flood algorithm (FLA): an efficient inspired meta-heuristic for engineering optimization
Introducing a novel meta-heuristic optimization algorithm, the Flood Algorithm (FLA) draws
inspiration from the intricate movement and flow patterns of water masses during flooding …
inspiration from the intricate movement and flow patterns of water masses during flooding …
[HTML][HTML] A new firefly algorithm with improved global exploration and convergence with application to engineering optimization
Firefly algorithm (FA) is a powerful and efficient meta-heuristic algorithm which has shown
effective performance in the recent literature when applied to solving engineering …
effective performance in the recent literature when applied to solving engineering …
Binary improved white shark algorithm for intrusion detection systems
Intrusion Detection (ID) is an essential task in the cyberattacks domain built to secure
Internet applications and networks from malicious actors. The main shortcoming of the …
Internet applications and networks from malicious actors. The main shortcoming of the …
[HTML][HTML] Gaussian bare-bones Levy circulatory system-based optimization for power flow in the presence of renewable units
Abstract The Optimal Power Flow (OPF) is a vital issue in electrical networks to ensure the
economical and safe operation to transfer electrical energy that is very complex, non-linear …
economical and safe operation to transfer electrical energy that is very complex, non-linear …
A hierarchical multi-leadership sine cosine algorithm to dissolving global optimization and data classification: The COVID-19 case study
M Zhong, J Wen, J Ma, H Cui, Q Zhang… - Computers in Biology and …, 2023 - Elsevier
Abstract The Sine Cosine Algorithm (SCA) is an outstanding optimizer that is appreciably
used to dissolve complicated real-world problems. Nevertheless, this algorithm lacks …
used to dissolve complicated real-world problems. Nevertheless, this algorithm lacks …
A Systematic Review of Wind Driven Optimization Algorithms and Their Variants
LL Mao, AM Zain, KQ Zhou, F Qin, FL Wang - IEEE Access, 2024 - ieeexplore.ieee.org
Wind Driven Optimization (WDO) Algorithm is a novel metaheuristic algorithm inspired by
the continuous flow of air resulting from differences in air pressure until the air reaches a …
the continuous flow of air resulting from differences in air pressure until the air reaches a …
A new metaphor-less simple algorithm based on Rao algorithms: a Fully Informed Search Algorithm (FISA)
Many important engineering optimization problems require a strong and simple optimization
algorithm to achieve the best solutions. In 2020, Rao introduced three non-parametric …
algorithm to achieve the best solutions. In 2020, Rao introduced three non-parametric …