DOI Number:10.1016/j.chaos.2023.113636
Journal:Chaos, Solitons & Fractals
Abstract:When both an absolute value function and a cosine function are introduced for chaotic sequence generation, coexisting attractors with different polarities and locations could be extracted by the offset boosting of the initial condition, and thus a hyperchaotic map with distance-increasing coexisting attractors is constructed. It is found that this map has two controllers for rescaling the oscillation totally and partially. The digital circuit implementation shows good consistency with numerical simulation. Moreover, the parameter adaptation in the basic Pelican Optimization Algorithm (POA) is improved by the above-mentioned hyperchaotic map. Correspondingly, the Hyperchaotic Pelican Optimization Algorithm (HCPOA) is constructed, where the hyperchaotic sequences are employed as the sampling pool when random numbers are required in the basic POA. Furthermore, the impact of chaos regulation on the performance of HCPOA is investigated, and the indicators of HCPOA are analyzed by employing five benchmark functions, where the single attractor shows better performance than the double-cavity attractor. The methods of HCPOA proposed in this paper bring the chance to improve the quality of solutions and the ability to escape local optima.
All the Authors:李泳新,易晨龙,付海燕
First Author:葛希斋
Indexed by:Journal paper
Correspondence Author:李春彪
Translation or Not:no
Included Journals:SCI
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Honors and Titles:
江苏省工程师学会科学技术奖 提名奖 2023-12-01
2022年江苏省通信学会科学技术奖一等奖 2023-01-02
2018年 江苏省教育教学与研究成果奖（研究类）三等奖（高校自然科学研究类） 2018-08-01
江苏省教育教学与研究成果奖（研究类）三等奖 2018
领跑者5000 2015
第八届春晖杯大赛优胜奖 2013
国家级教学成果奖 2014
省级教学成果奖 2011
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