Performance of scientific law-inspired optimization algorithms for constrained engineering applications-Reference-Cited by-同舟云学术

Performance of scientific law-inspired optimization algorithms for constrained engineering applications

Published:2022-11-22 Issue: Volume: Page:1-15
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Raja Bansi D.¹^ORCID,Patel Vivek K.²^ORCID,Yildiz Ali Riza³^ORCID,Kotecha Prakash⁴^ORCID

Affiliation:

1. Department of Mechanical Engineering, Indus University, Ahmedabad, India

2. Department of Mechanical Engineering, Pandit Deendayal Energy University, Gandhinagar, India

3. Automotive Engineering Department, Uludag University, Gorukle, Turkey

4. Department of Chemical Engineering, IIT Guwahati, Guwahati, India

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2022.2127698

Reference36 articles.

1. Electromagnetic field optimization: A physics-inspired metaheuristic optimization algorithm

2. The Arithmetic Optimization Algorithm

3. Prediction of power in solar stirling heat engine by using neural network based on hybrid genetic algorithm and particle swarm optimization

4. Multi-objective thermodynamic-based optimization of output power of Solar Dish-Stirling engine by implementing an evolutionary algorithm

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improved Tuna Swarm Optimization Algorithm for Engineering Design Problems;Journal of Materials and Mechatronics: A;2023-12-26