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A Ladder Spherical Evolution Search Algorithm
Haichuan YANG Shangce GAO Rong-Long WANG Yuki TODO
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2021/03/01
Online ISSN: 1745-1361
Type of Manuscript: LETTER
Category: Fundamentals of Information Systems
spherical evolution, ladder descent, population update,
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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.