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Journal article
Grasshopper Optimisation Algorithm: Theory and application
Advances in Engineering Software, Vol.105, pp.30-47
2017
Abstract
This paper proposes an optimisation algorithm called Grasshopper Optimisation Algorithm (GOA) and applies it to challenging problems in structural optimisation. The proposed algorithm mathematically models and mimics the behaviour of grasshopper swarms in nature for solving optimisation problems. The GOA algorithm is first benchmarked on a set of test problems including CEC2005 to test and verify its performance qualitatively and quantitatively. It is then employed to find the optimal shape for a 52-bar truss, 3-bar truss, and cantilever beam to demonstrate its applicability. The results show that the proposed algorithm is able to provide superior results compared to well-known and recent algorithms in the literature. The results of the real applications also prove the merits of GOA in solving real problems with unknown search spaces.
Details
- Title
- Grasshopper Optimisation Algorithm: Theory and application
- Authors
- Shahrzad Saremi - Griffith UniversitySeyedali Mirjalili (Corresponding Author) - Griffith UniversityAndrew Lewis - Griffith University
- Publication details
- Advances in Engineering Software, Vol.105, pp.30-47
- Publisher
- Elsevier Ltd
- Date published
- 2017
- DOI
- 10.1016/j.advengsoft.2017.01.004
- ISSN
- 1873-5339; 0965-9978
- Organisation Unit
- School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 991136505002621
- Output Type
- Journal article
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- Web Of Science research areas
- Computer Science, Interdisciplinary Applications
- Computer Science, Software Engineering
- Engineering, Multidisciplinary