A Systematic Review of the Whale Optimization Algorithm: Theoretical Foundation, Improvements, and Hybridizations

Archives of Computational Methods in Engineering, Journal Year: 2023, Volume and Issue: 30(7), P. 4113 - 4159

Published: May 27, 2023

Language: Английский

---

A multi-objective mutation-based dynamic Harris Hawks optimization for botnet detection in IoT

Internet of Things, Journal Year: 2023, Volume and Issue: 24, P. 100952 - 100952

Published: Sept. 24, 2023

Language: Английский

---

Improved dwarf mongoose optimization algorithm using novel nonlinear control and exploration strategies

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 233, P. 120904 - 120904

Published: June 29, 2023

Language: Английский

---

Discrete Improved Grey Wolf Optimizer for Community Detection

Journal of Bionic Engineering, Journal Year: 2023, Volume and Issue: 20(5), P. 2331 - 2358

Published: May 18, 2023

Language: Английский

---

A systematic review of applying grey wolf optimizer, its variants, and its developments in different Internet of Things applications

Internet of Things, Journal Year: 2024, Volume and Issue: 26, P. 101135 - 101135

Published: Feb. 22, 2024

Language: Английский

---

Multiplayer battle game-inspired optimizer for complex optimization problems

Cluster Computing, Journal Year: 2024, Volume and Issue: 27(6), P. 8307 - 8331

Published: April 10, 2024

Language: Английский

---

Metaheuristics for Solving Global and Engineering Optimization Problems: Review, Applications, Open Issues and Challenges

Archives of Computational Methods in Engineering, Journal Year: 2024, Volume and Issue: 31(8), P. 4485 - 4519

Published: Aug. 21, 2024

Abstract 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 considering a set aspects restrictions. Due superiority metaheuristic Algorithms (MAs) solving different classes problems promising results, MAs need be studied. Numerous studies algorithms fields exist, but this study, comprehensive review MAs, its nature, types, applications, open issues are introduced detail. Specifically, we introduce metaheuristics' advantages over other techniques. To obtain entire view about classifications based on (i.e., inspiration source, number search agents, updating mechanisms followed by agents their positions, primary parameters algorithms) presented detail, along with optimization including both structure types. application area occupies lot research, so most widely used applications presented. Finally, great effort research is directed discuss challenges which help upcoming know future directions active field. Overall, study helps existing understand basic information field addition directing newcomers areas that addressed future.

Language: Английский

---

A multi-strategy enhanced Dung Beetle Optimization for real-world engineering problems and UAV path planning

Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 118, P. 406 - 434

Published: Jan. 24, 2025

Language: Английский

---

An improved multi-strategy beluga whale optimization for global optimization problems

Mathematical Biosciences & Engineering, Journal Year: 2023, Volume and Issue: 20(7), P. 13267 - 13317

Published: Jan. 1, 2023

<abstract> <p>This paper presents an improved beluga whale optimization (IBWO) algorithm, which is mainly used to solve global problems and engineering problems. This improvement proposed the imbalance between exploration exploitation problem of insufficient convergence accuracy speed (BWO). In IBWO, we use a new group action strategy (GAS), replaces phase in BWO. It was inspired by hunting behavior whales nature. The GAS keeps individual belugas together, allowing them hide together from threat posed their natural enemy, tiger shark. also enables exchange location information enhance balance local lookups. On this basis, dynamic pinhole imaging (DPIS) quadratic interpolation (QIS) are added improve ability search rate IBWO maintain diversity. comparison experiment, performance algorithm tested using CEC2017 CEC2020 benchmark functions different dimensions. Performance analyzed observing experimental data, curves, box graphs, results were Wilcoxon rank sum test. show that has good robustness. Finally, applicability practical verified five problems.</p> </abstract>

Language: Английский

---

Election Optimizer Algorithm: A New Meta-Heuristic Optimization Algorithm for Solving Industrial Engineering Design Problems

Mathematics, Journal Year: 2024, Volume and Issue: 12(10), P. 1513 - 1513

Published: May 13, 2024

This paper introduces the election optimization algorithm (EOA), a meta-heuristic approach for engineering problems. Inspired by democratic electoral system, focusing on presidential election, EOA emulates complete process to optimize solutions. By simulating novel position-tracking strategy that expands scope of effectively solvable problems, surpassing conventional human-based algorithms, specifically, political optimizer. incorporates explicit behaviors observed during elections, including party nomination and election. During nomination, search space is broadened avoid local optima integrating diverse strategies suggestions from within party. In adequate population diversity maintained in later stages through further campaigning between elite candidates elected To establish benchmark comparison, rigorously assessed against several renowned widely recognized algorithms field optimization. demonstrates superior performance terms average values standard deviations across twenty-three test functions CEC2019. Through rigorous statistical analysis using Wilcoxon rank-sum at significance level 0.05, experimental results indicate consistently delivers high-quality solutions compared other algorithms. Moreover, practical applicability solving six complex design demonstrating its effectiveness real-world scenarios.

Language: Английский

---