Improved elephant herding optimization algorithm based on sine cosine search

Hao-Yu Luo

doi:10.1117/12.2683287

26 June 2023 Improved elephant herding optimization algorithm based on sine cosine search

Hao-Yu Luo

Proceedings Volume 12721, Second International Symposium on Computer Applications and Information Systems (ISCAIS 2023); 127211A (2023) https://doi.org/10.1117/12.2683287
Event: 2023 2nd International Symposium on Computer Applications and Information Systems (ISCAIS 2023), 2023, Chengdu, China

Abstract

Inspired by the renewal process of elephant clans, elephant herding optimization (EHO) is proposed and successfully applied to many optimization problems. However, EHO is prone to fall into local optimum during the optimization process, resulting in poor global search ability. To overcome this deficiency, an improved elephant herding optimization (SCEHO) is proposed, which integrate good point set strategy, improved sine cosine search strategy, nonuniform gauss mutation strategy and greedy strategy. First, good point set is introduced to initialize the population. Secondly, sine cosine algorithm is improved and incorporated into EHO to update the position of individuals. Then, the separation operator is improved from two aspects, on the one hand, non-uniform Gauss mutation is introduced to separate individuals. On the other hand, the number of separated individuals is increased, and half of the individuals with poor fitness are selected. Finally, the greedy strategy is introduced into SCEHO to update population according to the fitness. Our SCEHO is tested on 10 benchmark functions from CEC 2019 and the results imply the superiority of SCEHO to other algorithms. SCEHO is also applied to solve WSN coverage optimization problem. The results show that coverage model based on SCEHO has higher coverage and more uniform node distribution.

Citation Download Citation

Hao-Yu Luo "Improved elephant herding optimization algorithm based on sine cosine search", Proc. SPIE 12721, Second International Symposium on Computer Applications and Information Systems (ISCAIS 2023), 127211A (26 June 2023); https://doi.org/10.1117/12.2683287

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available