Kepler optimization algorithm: A new metaheuristic algorithm inspired by Kepler’s laws of planetary motion

Knowledge-Based Systems, Journal Year: 2023, Volume and Issue: 268, P. 110454 - 110454

Published: March 11, 2023

Language: Английский

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DETDO: An adaptive hybrid dandelion optimizer for engineering optimization

Advanced Engineering Informatics, Journal Year: 2023, Volume and Issue: 57, P. 102004 - 102004

Published: June 8, 2023

Language: Английский

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Secretary bird optimization algorithm: a new metaheuristic for solving global optimization problems

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(5)

Published: April 23, 2024

Abstract This study introduces a novel population-based metaheuristic algorithm called secretary bird optimization (SBOA), inspired by the survival behavior of birds in their natural environment. Survival for involves continuous hunting prey and evading pursuit from predators. information is crucial proposing new that utilizes abilities to address real-world problems. The algorithm's exploration phase simulates snakes, while exploitation models escape During this phase, observe environment choose most suitable way reach secure refuge. These two phases are iteratively repeated, subject termination criteria, find optimal solution problem. To validate performance SBOA, experiments were conducted assess convergence speed, behavior, other relevant aspects. Furthermore, we compared SBOA with 15 advanced algorithms using CEC-2017 CEC-2022 benchmark suites. All test results consistently demonstrated outstanding terms quality, stability. Lastly, was employed tackle 12 constrained engineering design problems perform three-dimensional path planning Unmanned Aerial Vehicles. demonstrate that, contrasted optimizers, proposed can better solutions at faster pace, showcasing its significant potential addressing

Language: Английский

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A multi-strategy boosted prairie dog optimization algorithm for global optimization of heat exchangers

Materials Testing, Journal Year: 2023, Volume and Issue: 65(9), P. 1396 - 1404

Published: July 5, 2023

Abstract In this article, a new prairie dog optimization algorithm (PDOA) is analyzed to realize the optimum economic design of three well-known heat exchangers. These exchangers found numerous applications in industries and are an imperative part entire thermal systems. Optimization these includes knowledge thermo-hydraulic designs, parameters critical constraints. Moreover, cost factor always challenging task optimize. Accordingly, total optimization, including initial maintenance, has been achieved using multi strategy enhanced PDOA combining with Gaussian mutation chaotic local search (MSPDOA). Shell tube, fin-tube plate-fin special class that utilized many recovery applications. Furthermore, numerical evidences accomplished confirm prominence MSPDOA terms statistical results. The obtained results were also compared algorithms literature. comparison revealed best performance rest algorithm. article further suggests adaptability for various real-world engineering cases.

Language: Английский

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A Literature Review and Critical Analysis of Metaheuristics Recently Developed

Archives of Computational Methods in Engineering, Journal Year: 2023, Volume and Issue: 31(1), P. 125 - 146

Published: July 22, 2023

Abstract Metaheuristic algorithms have applicability in various fields where it is necessary to solve optimization problems. It has been a common practice this field for several years propose new that take inspiration from natural and physical processes. The exponential increase of controversial issue researchers criticized. However, their efforts point out multiple issues involved these practices insufficient since the number existing metaheuristics continues yearly. To know current state problem, paper analyzes sample 111 recent studies so-called new, hybrid, or improved are proposed. Throughout document, topics reviewed will be addressed general perspective specific aspects. Among study’s findings, observed only 43% analyzed papers make some mention No Free Lunch (NFL) theorem, being significant result ignored by most presented. Of studies, 65% present an version established algorithm, which reveals trend no longer based on analogies. Additionally, compilation solutions found engineering problems commonly used verify performance state-of-the-art demonstrate with low level innovation can erroneously considered as frameworks years, known Black Widow Optimization Coral Reef analyzed. study its components they do not any innovation. Instead, just deficient mixtures different evolutionary operators. This applies extension recently proposed versions.

Language: Английский

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Arctic puffin optimization: A bio-inspired metaheuristic algorithm for solving engineering design optimization

Advances in Engineering Software, Journal Year: 2024, Volume and Issue: 195, P. 103694 - 103694

Published: June 15, 2024

Language: Английский

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Optimization based on the smart behavior of plants with its engineering applications: Ivy algorithm

Knowledge-Based Systems, Journal Year: 2024, Volume and Issue: 295, P. 111850 - 111850

Published: April 22, 2024

Language: Английский

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The Differentiated Creative Search (DCS): Leveraging differentiated knowledge-acquisition and creative realism to address complex optimization problems

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 252, P. 123734 - 123734

Published: March 22, 2024

Language: Английский

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Advances in Sand Cat Swarm Optimization: A Comprehensive Study

Archives of Computational Methods in Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 3, 2025

Language: Английский

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Dream Optimization Algorithm (DOA): A novel metaheuristic optimization algorithm inspired by human dreams and its applications to real-world engineering problems

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2025, Volume and Issue: 436, P. 117718 - 117718

Published: Jan. 9, 2025

Language: Английский

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