Performance assessment of the metaheuristic optimization algorithms: an exhaustive review
The simulation-driven metaheuristic algorithms have been successful in solving numerous
problems compared to their deterministic counterparts. Despite this advantage, the …
problems compared to their deterministic counterparts. Despite this advantage, the …
Metaheuristics for solving global and engineering optimization problems: review, applications, open issues and challenges
EH Houssein, MK Saeed, G Hu… - Archives of Computational …, 2024 - Springer
The greatest and fastest advances in the computing world today require researchers to
develop new problem-solving techniques capable of providing an optimal global solution …
develop new problem-solving techniques capable of providing an optimal global solution …
Dynamic levy flight chimp optimization
W Kaidi, M Khishe, M Mohammadi - Knowledge-Based Systems, 2022 - Elsevier
Abstract Background: The Chimp Optimization Algorithm (ChOA) is a hunting-based model
and can be utilized as a set of optimization rules to tackle optimization problems. Due to …
and can be utilized as a set of optimization rules to tackle optimization problems. Due to …
A survey on binary metaheuristic algorithms and their engineering applications
This article presents a comprehensively state-of-the-art investigation of the engineering
applications utilized by binary metaheuristic algorithms. Surveyed work is categorized based …
applications utilized by binary metaheuristic algorithms. Surveyed work is categorized based …
Ant lion optimization: variants, hybrids, and applications
Ant Lion Optimizer (ALO) is a recent novel algorithm developed in the literature that
simulates the foraging behavior of a Ant lions. Recently, it has been applied to a huge …
simulates the foraging behavior of a Ant lions. Recently, it has been applied to a huge …
Modified whale optimization algorithm based on tent chaotic mapping and its application in structural optimization
Y Li, M Han, Q Guo - KSCE Journal of Civil Engineering, 2020 - Springer
In this paper, a novel modified whale optimization algorithm based on Tent chaos map and
tournament selection strategy (MWOA) was presented. The aim of the improved algorithm is …
tournament selection strategy (MWOA) was presented. The aim of the improved algorithm is …
[HTML][HTML] Comparison of metaheuristic optimization techniques including Equilibrium optimizer algorithm in power distribution network reconfiguration
M Cikan, B Kekezoglu - Alexandria Engineering Journal, 2022 - Elsevier
Equilibrium Optimizer (EO) is a new search algorithm inspired by the balance state of a
simple and dynamic mass that is well-mixed on the region of the control volume. In this …
simple and dynamic mass that is well-mixed on the region of the control volume. In this …
Spatial bound whale optimization algorithm: an efficient high-dimensional feature selection approach
Selecting a subset of candidate features is one of the important steps in the data mining
process. The ultimate goal of feature selection is to select an optimal number of high-quality …
process. The ultimate goal of feature selection is to select an optimal number of high-quality …
Investigations on quality characteristics in gas tungsten arc welding process using artificial neural network integrated with genetic algorithm
Gas tungsten arc welding (GTAW) technology is widely used in industry and has
advantages, including high precision, excellent welding quality, and low equipment cost …
advantages, including high precision, excellent welding quality, and low equipment cost …
A hybrid method integrating an elite genetic algorithm with tabu search for the quadratic assignment problem
H Zhang, F Liu, Y Zhou, Z Zhang - Information Sciences, 2020 - Elsevier
Abstract The Quadratic Assignment Problem (QAP) is one of the most studied classical
combinatorial optimization problems. QAP has many practical applications. Designing …
combinatorial optimization problems. QAP has many practical applications. Designing …