In the recent years, the optimization problems show that they are a big challenge for engineering regarding the fast growth of new nature-inspired optimization algorithms …
Several population-based techniques have subsequently been proposed. Despite their broad use in a variety of applications, we are still investigating the use of proposed methods …
J Wang, M Khishe, M Kaveh, H Mohammadi - Cognitive Computation, 2021 - Springer
Chimp optimization algorithm (ChOA) is a newly proposed meta-heuristic algorithm inspired by chimps' individual intelligence and sexual motivation in their group hunting. The …
LSA da Silva, YLS Lúcio, LS Coelho… - Artificial Intelligence …, 2023 - Springer
Abstract The Jaya Algorithm is a relatively new population-based optimization, which has become a progressively valuable tool in swarm intelligence. The Jaya algorithm …
This paper presents an in‐depth survey and performance evaluation of cat swarm optimization (CSO) algorithm. CSO is a robust and powerful metaheuristic swarm‐based …
H ALRahhal, R Jamous - Artificial Intelligence Review, 2023 - Springer
Optimization is a common phenomenon that we encounter in our daily routine, which involves selecting the best option from a set of alternatives. A lot of algorithms have been …
One of the most powerful tools for solving optimization problems is optimization algorithms (inspired by nature) based on populations. These algorithms provide a solution to a problem …
Harris hawks optimizer (HHO) has received widespread attention among researchers in terms of the performance, quality of results, and its acceptable convergence in dealing with …
OW Khalid, NAM Isa, HAM Sakim - Alexandria Engineering Journal, 2023 - Elsevier
Meta heuristics is an optimization approach that works as an intelligent technique to solve optimization problems. Evolutionary algorithms, human-based algorithms, physics-based …