학술논문

Chaotic American zebra search optimization algorithm for benchmark challenges
Document Type
Conference
Source
2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Electronics, Computers and Artificial Intelligence (ECAI), 2023 15th International Conference on. :1-5 Jun, 2023
Subject
Components, Circuits, Devices and Systems
Engineering Profession
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Chaos
Metaheuristics
Optimal control
Benchmark testing
Programming
Mathematical models
Random processes
American zebra search optimization algorithm
Singer mapping
chaotic
benchmark functions
Language
Abstract
In this research, we presented a modification to the recently developed swarm premised American zebra search optimization algorithm (AZOA) using chaos. The particular Singer mapping was proposed by the so-called chaotic AZOA and was already known to perform better in optimization. Twelve uni, multi modal benchmark functions, three-bar truss and ten bar truss optimal structural designs were tested. The chaotic AZOA with Singer map would perform more effectively, more consistently, and quicker than the classical AZOA and other recent metaheuristics in optimization, according to the results, which also supported the viability of the modifications. It was discussed if the chaotic AZAO could be optimized with the original AZOA, and the chaotic AZOA was suggested for use in applications for actual engineering challenges.