[HTML][HTML] Coati Optimization Algorithm: A new bio-inspired metaheuristic algorithm for solving optimization problems

M Dehghani, Z Montazeri, E Trojovská… - Knowledge-Based …, 2023 - Elsevier
In this paper, a new metaheuristic algorithm called the Coati Optimization Algorithm (COA) is
introduced, which mimics coati behavior in nature. The fundamental idea of COA is the …

A novel nature-inspired meta-heuristic algorithm for optimization: bear smell search algorithm

A Ghasemi-Marzbali - Soft computing, 2020 - Springer
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 …

Fusion of modern meta-heuristic optimization methods using arithmetic optimization algorithm for global optimization tasks

S Mahajan, L Abualigah, AK Pandit, MR Al Nasar… - Soft Computing, 2022 - Springer
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 …

Binary chimp optimization algorithm (BChOA): a new binary meta-heuristic for solving optimization problems

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 …

A comprehensive review on Jaya optimization algorithm

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 …

Cat swarm optimization algorithm: a survey and performance evaluation

AM Ahmed, TA Rashid… - Computational …, 2020 - Wiley Online Library
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 …

AFOX: A new adaptive nature-inspired optimization algorithm

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 …

Binary spring search algorithm for solving various optimization problems

M Dehghani, Z Montazeri, A Dehghani, OP Malik… - Applied Sciences, 2021 - mdpi.com
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 optimization: a comprehensive review of recent variants and applications

HM Alabool, D Alarabiat, L Abualigah… - Neural computing and …, 2021 - Springer
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 …

[HTML][HTML] Emperor penguin optimizer: A comprehensive review based on state-of-the-art meta-heuristic algorithms

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 …