The fusion-fission optimization (FuFiO) algorithm



Nouhi, Behnaz, Darabai, Nima, Sareh, Pooya, Bayazidi, Hadi, Darabi, Farhad and Talatahari, Siamak
(2022) The fusion-fission optimization (FuFiO) algorithm. SCIENTIFIC REPORTS, 12 (1). 12396-.

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Abstract

Fusion-Fission Optimization (FuFiO) is proposed as a new metaheuristic algorithm that simulates the tendency of nuclei to increase their binding energy and achieve higher levels of stability. In this algorithm, nuclei are divided into two groups, namely stable and unstable. Each nucleus can interact with other nuclei using three different types of nuclear reactions, including fusion, fission, and β-decay. These reactions establish the stabilization process of unstable nuclei through which they gradually turn into stable nuclei. A set of 120 mathematical benchmark test functions are selected to evaluate the performance of the proposed algorithm. The results of the FuFiO algorithm and its related non-parametric statistical tests are compared with those of other metaheuristic algorithms to make a valid judgment. Furthermore, as some highly-complicated problems, the test functions of two recent Competitions on Evolutionary Computation, namely CEC-2017 and CEC-2019, are solved and analyzed. The obtained results show that the FuFiO algorithm is superior to the other metaheuristic algorithms in most of the examined cases.

Item Type: Article
Uncontrolled Keywords: 5106 Nuclear and Plasma Physics, 5110 Synchrotrons and Accelerators, 51 Physical Sciences, 7 Affordable and Clean Energy
Divisions: Faculty of Science and Engineering > School of Engineering
Depositing User: Symplectic Admin
Date Deposited: 15 Aug 2022 14:23
Last Modified: 21 Jun 2024 10:02
DOI: 10.1038/s41598-022-16498-4
Open Access URL: https://doi.org/10.1038/s41598-022-16498-4
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3161304