Chaos crossover quantum attraction-repulsion optimization algorithm DOI
Mingwei Li, Xiang‐Yang Li, Yutian Wang

et al.

Swarm and Evolutionary Computation, Journal Year: 2024, Volume and Issue: 92, P. 101811 - 101811

Published: Dec. 9, 2024

Language: Английский

Reliability optimization of non-linear RRAP with cold standby through HPSOTLBO DOI

Shivani Choudhary,

Mangey Ram, Nupur Goyal

et al.

Computers & Industrial Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 111045 - 111045

Published: March 1, 2025

Language: Английский

Citations

2
Modified random-oppositional chaotic artificial rabbit optimization algorithm for solving structural problems and optimal sizing of hybrid renewable energy system DOI

Sarada Mohapatra,

Himadri Lala, Prabhujit Mohapatra

et al.

Evolutionary Intelligence, Journal Year: 2025, Volume and Issue: 18(1)

Published: Jan. 9, 2025

Language: Английский

Citations

1
Report on optimisation for efficient dynamic task distribution in drone swarms using QRDPSO algorithm DOI Creative Commons
Giuseppe Converso,

Duaa Abdel Fattah Mehiar,

Alexander Rukovich

et al.

Ain Shams Engineering Journal, Journal Year: 2025, Volume and Issue: 16(2), P. 103237 - 103237

Published: Jan. 9, 2025

Language: Английский

Citations

1
A hybrid swarm intelligent optimization algorithm for antenna design problems DOI Creative Commons
Supreet Singh, Harbinder Singh, Nitin Mittal

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 6, 2025

Meta-heuristic optimization algorithms have seen significant advancements due to their diverse applications in solving complex problems. However, no single algorithm can effectively solve all challenges. The Naked Mole-Rat Algorithm (NMRA), inspired by the mating patterns of naked mole-rats, has shown promise but suffers from poor convergence accuracy and a tendency get trapped local optima. To address these limitations, this paper proposes an enhanced version NMRA, called Salp Swarm Seagull Optimization-based NMRA (SSNMRA), which integrates search mechanisms Optimization (SOA) (SSA). This hybrid approach improves exploration capabilities performance NMRA. effectiveness SSNMRA is validated through CEC 2019 benchmark test suite applied various electromagnetic Experimental results demonstrate that outperforms existing state-of-the-art algorithms, offering superior capability accuracy, making it promising solution for antenna design other applications.

Language: Английский

Citations

1
MaOSSA: A New High-Efficiency Many-Objective Salp Swarm Algorithm with Information Feedback Mechanism for Industrial Engineering Problems DOI Creative Commons
Mohammad Aljaidi, Janjhyam Venkata Naga Ramesh, Ajmeera Kiran

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104372 - 104372

Published: Feb. 1, 2025

Language: Английский

Citations

1
An efficient multi-objective algorithm based on Rao and differential evolution for solving bi-objective truss optimization DOI

Manh-Cuong Nguyen,

Hoang-Anh Pham, Viet-Hung Truong

et al.

Engineering Optimization, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 31

Published: Feb. 24, 2025

Language: Английский

Citations

1
A novel marine predator whale optimization algorithm for global numerical optimization DOI
Ya Su, Yi Liu

Engineering Optimization, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 37

Published: March 31, 2025

Citations

1
Enhancing the decision optimization of interaction design in sustainable healthcare with improved artificial bee colony algorithm and generative artificial intelligence DOI Creative Commons
Shuhui Yu, Xin Guan, Xiaoyan Peng

et al.

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(2), P. e0317488 - e0317488

Published: Feb. 25, 2025

With the development of digital health, enhancing decision-making effectiveness has become a critical task. This study proposes an improved Artificial Bee Colony (ABC) algorithm aimed at optimizing models in field health. The draws inspiration from dual-layer evolutionary space cultural algorithms, combining normative knowledge credibility to dynamically adjust search range, thereby improving both convergence speed and exploration capabilities. Additionally, population dispersion strategy is introduced maintain diversity, effectively balancing global with local exploitation. Experimental results show that ABC exhibits 96% probability when approaching optimal solution, significantly efficiency accuracy medical resource optimization, particularly complex environments. Integrating this Chat Generative Pre-trained Transformer (ChatGPT) decision system can intelligently generate personalized recommendations leverage natural language processing technologies better understand respond user needs. provides effective tool for scientific healthcare offers technical support analyzing large-scale data.

Language: Английский

Citations

0
Fitness and Collaborative Information-Driven Differential Evolution Algorithm for Bound-Constrained and Real-World Application Problems DOI
Shubham Gupta, Shitu Singh, Shangce Gao

et al.

Arabian Journal for Science and Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: March 10, 2025

Language: Английский

Citations

0
Hybridization of the Snake Optimizer and Particle Swarm Optimization for continuous optimization problems DOI
Abdülkadir Pektaş, Mehmet Hacıbeyoğlu, Onur İnan

et al.

Engineering Science and Technology an International Journal, Journal Year: 2025, Volume and Issue: 67, P. 102077 - 102077

Published: May 17, 2025

Language: Английский

Citations

0