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Samie Yousefi, Farnood, Karimian, Noushin, Ghodousian, Amin. (1398). Xerus Optimization Algorithm (XOA): a novel nature-inspired metaheuristic algorithm for solving global optimization problems. , 51(2), 111-126. doi: 10.22059/jac.2019.75188
Farnood Samie Yousefi; Noushin Karimian; Amin Ghodousian. "Xerus Optimization Algorithm (XOA): a novel nature-inspired metaheuristic algorithm for solving global optimization problems". , 51, 2, 1398, 111-126. doi: 10.22059/jac.2019.75188
Samie Yousefi, Farnood, Karimian, Noushin, Ghodousian, Amin. (1398). 'Xerus Optimization Algorithm (XOA): a novel nature-inspired metaheuristic algorithm for solving global optimization problems', , 51(2), pp. 111-126. doi: 10.22059/jac.2019.75188
Samie Yousefi, Farnood, Karimian, Noushin, Ghodousian, Amin. Xerus Optimization Algorithm (XOA): a novel nature-inspired metaheuristic algorithm for solving global optimization problems. , 1398; 51(2): 111-126. doi: 10.22059/jac.2019.75188

Xerus Optimization Algorithm (XOA): a novel nature-inspired metaheuristic algorithm for solving global optimization problems

Journal of Algorithms and Computation
مقاله 10، دوره 51، شماره 2، اسفند 2019، صفحه 111-126    اصل مقاله (537.05 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/jac.2019.75188
نویسندگان
Farnood Samie Yousefi* 1؛ Noushin Karimian1؛ Amin Ghodousian2
1Faculty of Engineering Science, College of Engineering, University of Tehran, Tehran, Iran.
2University of Tehran, College of Engineering, Faculty of Engineering Science
چکیده
Over the recent years, many research has been carried out on applying the optimization approach to science and engineering problems. Thereby, numerous metaheuristic algorithms have been developed for solving such type of challenge. Despite an increase in the number of these algorithms, there is currently no specific algorithm which can be employed to optimize all varieties of problems. In the current research, a novel metaheuristic algorithm for global and continuous nonlinear optimization, named as Xerus Optimization Algorithm (XOA) has been introduced. XOA has been inspired by group living and lifestyle of cape ground squirrels (Xerus inauris), by taking into account their co-operation in living together, hunting, and communication, etc. In order to evaluate the efficiency of XOA, algorithms for 30 different benchmarks have been analyzed and compared to some novel and renowned metaheuristic algorithms. The simulation response illustrates a significant improvement in  the performance of the novel XOA, in comparison to the algorithms presented in the literature. The proposed algorithm can be employed for many applications that require a solution to different optimization problems.
کلیدواژه‌ها
Xerus Optimization Algorithm؛ Global Optimization؛ Evolutionary Algorithms؛ Metaheuristic Algorithms
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تعداد مشاهده مقاله: 497
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