EXPLICA: An Explorative Imperialist Competitive Algorithm based on the notion of Explorers with an expansive retention policy

Ardeh Mazhar Ansari; Menhaj Mohammad Bagher; Esmailian Ehsan; Zandhessami Hessam

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EXPLICA: An Explorative Imperialist Competitive Algorithm based on the notion of Explorers with an expansive retention policy

机译：扩展：一种基于探险者概念的探索性帝国主义竞争算法，具有广泛的保留政策

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Meta-heuristic algorithms are of considerable importance in solving optimization problems. This importance is more highlighted when the problems to be optimized are too complicated to achieve a solution using conventional methods or, the traditional methods are somehow not applicable for solving them. Imperial Competitive Algorithm has been proved to be an efficient and effective meta-heuristic optimization algorithm and it has been successfully applied in many scientific and engineering problems. By introducing the concept of explorers and retention policy, the original algorithm is enhanced with a dynamic population mechanism in this paper and hence, the performance of the Imperial Competitive Algorithm is improved. Performance of the proposed modification is tested with experiments of optimizing real-values functions and results are compared with results obtained with the original Imperialistic Competitive Algorithm, Genetic Algorithm, Particle Swarm Optimization and Simulated Annealing. Also, the applicability of the proposed improvement is verified by optimizing a ship propeller design problem. (C) 2017 Elsevier B.V. All rights reserved.

机译：在解决优化问题方面具有重要意义。当要优化的问题太复杂以实现使用常规方法而实现解决方案时，这一重要性更加突出显示，或者，传统方法不适用于解决它们。帝国竞争算法已被证明是一种有效且有效的元启发式优化算法，并且已成功应用于许多科学和工程问题。通过介绍探险者和保留策略的概念，原始算法通过动态群体机制增强了本文的动态群体机制，因此提高了帝国竞争算法的性能。通过优化实数值的实验测试所提出的修改的性能，并将结果与原始帝国竞争算法，遗传算法，粒子群优化和模拟退火获得的结果进行了比较。此外，通过优化船舶螺旋桨设计问题来验证所提出的改进的适用性。（c）2017 Elsevier B.v.保留所有权利。

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《Applied Soft Computing》 |2017年第2017期|共19页
作者
Ardeh Mazhar Ansari; Menhaj Mohammad Bagher; Esmailian Ehsan; Zandhessami Hessam;
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作者单位

Kharazmi Univ Dept Decis Sci &

Knowledge Engn Tehran Iran;

Amirkabir Univ Technol Dept Elect Engn Tehran Iran;

Amirkabir Univ Technol Dept Maritime Engn Tehran Iran;

Islamic Azad Univ Qazvin Branch Dept Management Qazvin Iran;

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原文格式 PDF
正文语种 eng
中图分类计算机软件;
关键词
Meta-heuristic optimization; Imperialistic competitive algorithm; Real-valued function optimization; Ship propeller design;

机译：元启发式优化;帝国主义竞争算法;实值函数优化;船舶螺旋桨设计;

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2. EXPLICA: An Explorative Imperialist Competitive Algorithm based on the notion of Explorers with an expansive retention policy [J] . Ardeh Mazhar Ansari, Menhaj Mohammad Bagher, Esmailian Ehsan, Applied Soft Computing . 2017,第期

机译：扩展：一种基于探险者概念的探索性帝国主义竞争算法，具有广泛的保留政策
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5. Filter based Explorized Policy Iteration Algorithm for On-Policy Approximate LQR [C] . Sumit Kumar Jha, Sayan Basu Roy, Shubhendu Bhasin IEEE Symposium Series on Computational Intelligence . 2019

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EXPLICA: An Explorative Imperialist Competitive Algorithm based on the notion of Explorers with an expansive retention policy

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