A hyperchaotic map with distance-increasing pairs of coexisting attractors and its application in the pelican optimization algorithm
点击次数：发表时间：2024-03-05
- DOI码：10.1016/j.chaos.2023.113636
- 发表刊物：Chaos, Solitons & Fractals
- 摘要：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.
- 全部作者：李泳新,易晨龙,付海燕
- 第一作者：葛希斋
- 论文类型：期刊论文
- 通讯作者：李春彪
- 是否译文：否
- 收录刊物：SCI
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论文成果
个人信息
- 性别：男
- 职称：教授
- 所在单位：人工智能学院（未来技术学院、人工智能产业学院）
曾获荣誉：
- 2023-12-01 曾获荣誉当选： 江苏省工程师学会科学技术奖 提名奖
- 2023-01-02 曾获荣誉当选： 2022年江苏省通信学会科学技术奖一等奖
- 2018-08-01 曾获荣誉当选： 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 曾获荣誉当选： 江苏省教育教学与研究成果奖（研究类）三等奖
- 2015 曾获荣誉当选： 领跑者5000
- 2013 曾获荣誉当选： 第八届春晖杯大赛优胜奖
- 2014 曾获荣誉当选： 国家级教学成果奖
- 2011 曾获荣誉当选： 省级教学成果奖
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