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Enhanced Symbiotic Organisms Search (ESOS) for Global Numerical Optimization

Prayogo, Doddy and Tjong, Wong Foek and SUGIANTO, STEVEN (2017) Enhanced Symbiotic Organisms Search (ESOS) for Global Numerical Optimization. In: International Conference on Advanced Mechatronics,Intelligent Manufacture, and Industrial Automation, 14-10-2017 - 14-10-2017, Surabaya - Indonesia.

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        Official URL: http://icamimia.org/

        Abstract

        Symbiotic organisms search (SOS) is a simple yet effective metaheuristic algorithm to solve a wide variety of optimization problems. Many studies have been carried out to improve the performance of the SOS algorithm. This research proposes an improved version of the SOS algorithm called the “enhanced symbiotic organisms search” (ESOS) for global numerical optimization. The conventional SOS is modified by implementing a new searching formula into the parasitism phase to produce a better searching capability. The performance of the ESOS is verified using 26 benchmark functions and one structural engineering design problem. The results are then compared with existing metaheuristic optimization methods. The obtained results show that the ESOS gives a competitive and effective performance for global numerical optimization.

        Item Type: Conference or Workshop Item (Paper)
        Uncontrolled Keywords: metaheuristic algorithm, symbiotic organisms search, global numerical optimization, structural engineering design
        Subjects: T Technology > TA Engineering (General). Civil engineering (General)
        Divisions: Faculty of Civil Engineering and Planning > Civil Engineering Department
        Depositing User: Admin
        Date Deposited: 15 Oct 2017 02:17
        Last Modified: 18 Jan 2019 05:58
        URI: http://repository.petra.ac.id/id/eprint/17715

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