A Ladder Spherical Evolution Search Algorithm
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- YANG Haichuan
- Faculty of Engineering, University of Toyama
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- GAO Shangce
- Faculty of Engineering, University of Toyama
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- WANG Rong-Long
- Faculty of Engineering, University of Fukui
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- TODO Yuki
- Faculty of Electrical, Information and Communication Engineering, Kanazawa University
Description
<p>In 2019, a completely new algorithm, spherical evolution (SE), was proposed. The brand new search style in SE has been proved to have a strong search capability. In order to take advantage of SE, we propose a novel method called the ladder descent (LD) method to improve the SE' population update strategy and thereafter propose a ladder spherical evolution search (LSE) algorithm. With the number of iterations increasing, the range of parent individuals eligible to produce offspring gradually changes from the entire population to the current optimal individual, thereby enhancing the convergence ability of the algorithm. Experiment results on IEEE CEC2017 benchmark functions indicate the effectiveness of LSE.</p>
Journal
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- IEICE Transactions on Information and Systems
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IEICE Transactions on Information and Systems E104.D (3), 461-464, 2021-03-01
The Institute of Electronics, Information and Communication Engineers
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Details 詳細情報について
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- CRID
- 1390850247499040256
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- NII Article ID
- 130007993170
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- ISSN
- 17451361
- 09168532
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- OpenAIRE
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- Abstract License Flag
- Disallowed