Piranha Optimization Algorithm: A novel swarm intelligent algorithm
Authors: 
Yongle Zhang, Xiangtao HuAuthors Info & Claims
Yongle Zhang, Xiangtao HuAuthors Info & ClaimsAbstract
A novel meta-heuristic intelligent optimization algorithm named Piranha Optimization Algorithm (POA) is proposed to solve complex optimization problems. The POA mimics the hunting mechanism of piranhas and the reproductive mechanism of biological instinct in nature. The hunting behavior, random behavior and reproduction behavior of piranha are defined by applying gravitation factor, Levy flight strategy, selection factor and crossover factor respectively. Moreover, the elite reservation mechanism based on reverse learning is introduced to take full advantage of better-performing individuals for optimization in the next generations. Finally, the numerical outcomes of 12 benchmark functions have been documented and analyzed for comparison. The results show that the POA has significant advantages in the terms of robustness, convergence performance, and computational accuracy for multimodal and high-dimensional optimization problems.
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Published In
March 2024
478 pages
ISBN:9798400716416
DOI:10.1145/3654823
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Association for Computing Machinery
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Published: 29 May 2024
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CACML 2024
CACML 2024: 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning
March 22 - 24, 2024
Shanghai, China
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Overall Acceptance Rate 93 of 241 submissions, 39%
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