Gradient-based optimizer: analysis and application of the Berry software product DOI
Laith Abualigah,

Laith Elkhalaifa,

Abiodun M. Ikotun

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 221 - 229

Published: Jan. 1, 2024

Language: Английский

Arithmetic optimization algorithm: a review and analysis DOI
Laith Abualigah,

Aya Abusaleem,

Abiodun M. Ikotun

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 73 - 87

Published: Jan. 1, 2024

Language: Английский

Citations

7
Animal migration optimization algorithm: novel optimizer, analysis, and applications DOI
Laith Abualigah,

Esraa Nasser Ahmad,

Abiodun M. Ikotun

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 33 - 43

Published: Jan. 1, 2024

Language: Английский

Citations

7
A Survey of cuckoo search algorithm: optimizer and new applications DOI
Laith Abualigah,

Ashraf Ababneh,

Abiodun M. Ikotun

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 45 - 57

Published: Jan. 1, 2024

Language: Английский

Citations

7
Marine predator’s algorithm: a survey of recent applications DOI
Laith Abualigah,

Suhier Odah,

Abiodun M. Ikotun

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 133 - 145

Published: Jan. 1, 2024

Language: Английский

Citations

6
Improved snow ablation optimizer with heat transfer and condensation strategy for global optimization problem DOI Creative Commons
Heming Jia,

Fangkai You,

Di Wu

et al.

Journal of Computational Design and Engineering, Journal Year: 2023, Volume and Issue: 10(6), P. 2177 - 2199

Published: Oct. 26, 2023

Abstract The snow ablation optimizer (SAO) is a new metaheuristic algorithm proposed in April 2023. It simulates the phenomenon of sublimation and melting nature has good optimization effect. SAO proposes two-population mechanism. By introducing Brownian motion to simulate random gas molecules space. However, as temperature factor changes, most water are converted into vapor, which breaks balance between exploration exploitation, reduces ability later stage. Especially face high-dimensional problems, it easy fall local optimal. In order improve efficiency algorithm, this paper an improved with heat transfer condensation strategy (SAOHTC). Firstly, article strategy, utilizes from high low temperatures move their positions temperatures, causing individuals lower fitness population towards higher fitness, thereby improving original algorithm. Secondly, proposed, can transform vapor by simulating nature, deficiency mechanism, convergence speed. Finally, verify performance SAOHTC, paper, two benchmark experiments IEEE CEC2014 CEC2017 five engineering problems used test superior SAOHTC.

Language: Английский

Citations

14
Improve coati optimization algorithm for solving constrained engineering optimization problems DOI Creative Commons
Heming Jia,

Shengzhao Shi,

Di Wu

et al.

Journal of Computational Design and Engineering, Journal Year: 2023, Volume and Issue: 10(6), P. 2223 - 2250

Published: Oct. 26, 2023

Abstract The coati optimization algorithm (COA) is a meta-heuristic proposed in 2022. It creates mathematical models according to the habits and social behaviors of coatis: (i) In group organization coatis, half coatis climb trees chase their prey away, while other wait beneath catch it (ii) Coatis avoidance predators behavior, which gives strong global exploration ability. However, over course our experiment, we uncovered opportunities for enhancing algorithm’s performance. When confronted with intricate problems, certain limitations surfaced. Much like long-nosed raccoon gradually narrowing its search range as approaches optimal solution, COA exhibited tendencies that could result reduced convergence speed risk becoming trapped local optima. this paper, propose an improved (ICOA) enhance efficiency. Through sound-based envelopment strategy, can capture more quickly accurately, allowing converge rapidly. By employing physical exertion have greater variety escape options when being chased, thereby exploratory capabilities ability Finally, lens opposition-based learning strategy added improve To validate performance ICOA, conducted tests using IEEE CEC2014 CEC2017 benchmark functions, well six engineering problems.

Language: Английский

Citations

14
Salp swarm algorithm: survey, analysis, and new applications DOI
Laith Abualigah,

Worod Hawamdeh,

Raed Abu Zitar

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 241 - 258

Published: Jan. 1, 2024

Language: Английский

Citations

5
Social spider optimization algorithm: survey and new applications DOI
Laith Abualigah, Ahmad Al Turk,

Abiodun M. Ikotun

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 15 - 31

Published: Jan. 1, 2024

Language: Английский

Citations

5
Fitness-Guided Particle Swarm Optimization with Adaptive Newton-Raphson for Photovoltaic Model Parameter Estimation DOI
M. Premkumar,

R. Sowmya,

Tengku Juhana Tengku Hashim

et al.

Applied Soft Computing, Journal Year: 2024, Volume and Issue: unknown, P. 112295 - 112295

Published: Oct. 1, 2024

Language: Английский

Citations

5
Crow search algorithm: a survey of novel optimizer and its recent applications DOI
Laith Abualigah,

Sabreen Faweer,

Ali Raza

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 167 - 176

Published: Jan. 1, 2024

Language: Английский

Citations

4