Young’s double-slit experiment optimizer : A novel metaheuristic optimization algorithm for global and constraint optimization problems DOI
Mohamed Abdel‐Basset, Doaa El-Shahat, Mohammed Jameel

et al.

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2022, Volume and Issue: 403, P. 115652 - 115652

Published: Nov. 4, 2022

Language: Английский

Golden jackal optimization: A novel nature-inspired optimizer for engineering applications DOI
Nitish Chopra, Muhammad Mohsin Ansari

Expert Systems with Applications, Journal Year: 2022, Volume and Issue: 198, P. 116924 - 116924

Published: March 18, 2022

Language: Английский

Citations

522

An Overview of Variants and Advancements of PSO Algorithm DOI Creative Commons
Meetu Jain,

Vibha Saihjpal,

Narinder Singh

et al.

Applied Sciences, Journal Year: 2022, Volume and Issue: 12(17), P. 8392 - 8392

Published: Aug. 23, 2022

Particle swarm optimization (PSO) is one of the most famous swarm-based techniques inspired by nature. Due to its properties flexibility and easy implementation, there an enormous increase in popularity this nature-inspired technique. has gained prompt attention from every field researchers. Since origin 1995 till now, researchers have improved original varying ways. They derived new versions it, such as published theoretical studies on various parameters PSO, proposed many variants algorithm numerous other advances. In present paper, overview PSO presented. On hand, basic concepts are explained, advances relation including modifications, extensions, hybridization, analysis, included.

Language: Английский

Citations

353

Osprey optimization algorithm: A new bio-inspired metaheuristic algorithm for solving engineering optimization problems DOI Creative Commons
Mohammad Dehghani, Pavel Trojovský

Frontiers in Mechanical Engineering, Journal Year: 2023, Volume and Issue: 8

Published: Jan. 20, 2023

This paper introduces a new metaheuristic algorithm named the Osprey Optimization Algorithm (OOA), which imitates behavior of osprey in nature. The fundamental inspiration OOA is strategy ospreys when hunting fish from seas. In this strategy, hunts prey after detecting its position, then carries it to suitable position eat it. proposed approach two phases exploration and exploitation mathematically modeled based on simulation natural during process. performance has been evaluated optimization twenty-nine standard benchmark functions CEC 2017 test suite. Furthermore, compared with twelve well-known algorithms. results show that provided superior competitor algorithms by maintaining balance between exploitation. addition, implementation twenty-two real-world constrained problems 2011 suite shows high capability optimizing applications.

Language: Английский

Citations

273

Mountain Gazelle Optimizer: A new Nature-inspired Metaheuristic Algorithm for Global Optimization Problems DOI
Benyamın Abdollahzadeh, Farhad Soleimanian Gharehchopogh, Nima Khodadadi

et al.

Advances in Engineering Software, Journal Year: 2022, Volume and Issue: 174, P. 103282 - 103282

Published: Oct. 29, 2022

Language: Английский

Citations

269

Zebra Optimization Algorithm: A New Bio-Inspired Optimization Algorithm for Solving Optimization Algorithm DOI Creative Commons
Eva Trojovská, Mohammad Dehghani, Pavel Trojovský

et al.

IEEE Access, Journal Year: 2022, Volume and Issue: 10, P. 49445 - 49473

Published: Jan. 1, 2022

In this paper, a new bio-inspired metaheuristic algorithm called Zebra Optimization Algorithm (ZOA) is developed; its fundamental inspiration the behavior of zebras in nature. ZOA simulates foraging and their defense strategy against predators' attacks. The steps are described then mathematically modeled. performance optimization evaluated on sixty-eight benchmark functions, including unimodal, high-dimensional multimodal, fixed-dimensional CEC2015, CEC2017. results obtained from compared with nine well-known algorithms. simulation show that can solve problems by creating suitable balance between exploration exploitation has superior to competitor ZOA's ability real-world been tested four engineering design problems, namely, tension/compression spring, welded beam, speed reducer, pressure vessel. an effective optimizer determining values variables these

Language: Английский

Citations

236

Nutcracker optimizer: A novel nature-inspired metaheuristic algorithm for global optimization and engineering design problems DOI
Mohamed Abdel‐Basset, Reda Mohamed, Mohammed Jameel

et al.

Knowledge-Based Systems, Journal Year: 2023, Volume and Issue: 262, P. 110248 - 110248

Published: Jan. 3, 2023

Language: Английский

Citations

230

Starling murmuration optimizer: A novel bio-inspired algorithm for global and engineering optimization DOI
Hoda Zamani, Mohammad H. Nadimi-Shahraki, Amir H. Gandomi

et al.

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2022, Volume and Issue: 392, P. 114616 - 114616

Published: Feb. 12, 2022

Language: Английский

Citations

229

Advances in Sparrow Search Algorithm: A Comprehensive Survey DOI Open Access
Farhad Soleimanian Gharehchopogh,

Mohammad Namazi,

Laya Ebrahimi

et al.

Archives of Computational Methods in Engineering, Journal Year: 2022, Volume and Issue: 30(1), P. 427 - 455

Published: Aug. 22, 2022

Language: Английский

Citations

224

Spider wasp optimizer: a novel meta-heuristic optimization algorithm DOI
Mohamed Abdel‐Basset, Reda Mohamed, Mohammed Jameel

et al.

Artificial Intelligence Review, Journal Year: 2023, Volume and Issue: 56(10), P. 11675 - 11738

Published: March 13, 2023

Language: Английский

Citations

174

Fick’s Law Algorithm: A physical law-based algorithm for numerical optimization DOI
Fatma A. Hashim, Reham R. Mostafa, Abdelazim G. Hussien

et al.

Knowledge-Based Systems, Journal Year: 2022, Volume and Issue: 260, P. 110146 - 110146

Published: Nov. 29, 2022

Language: Английский

Citations

172