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

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Samie Yousefi Farnood; Karimian Noushin; Ghodousian amin

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Journal Paper

Paper Information

Journal: JOURNAL OF ALGORITHMS AND COMPUTATION Year:2019 | Volume:51 | Issue:2 Page(s): 111-126

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Title

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

Author(s)

Samie Yousefi Farnood | Karimian Noushin | Ghodousian amin | Issue Writer Certificate

Keywords

Xerus Optimization Algorithm

Global Optimization

Evolutionary Algorithms

Metaheuristic Algorithms

Abstract

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 e ciency of XOA, algorithms for 30 di erent benchmarks have been analyzed and compared to some novel and renowned Metaheuristic Algorithms. The simulation response illustrates a significant improvement in

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APA: Copy

Samie Yousefi, Farnood, Karimian, Noushin, & Ghodousian, amin. (2019). Xerus Optimization Algorithm (XOA): a novel nature-inspired metaheuristic algorithm for solving global optimization problems. JOURNAL OF ALGORITHMS AND COMPUTATION, 51(2), 111-126. SID. https://sid.ir/paper/354587/en

Vancouver: Copy

Samie Yousefi Farnood, Karimian Noushin, Ghodousian amin. Xerus Optimization Algorithm (XOA): a novel nature-inspired metaheuristic algorithm for solving global optimization problems. JOURNAL OF ALGORITHMS AND COMPUTATION[Internet]. 2019;51(2):111-126. Available from: https://sid.ir/paper/354587/en

IEEE: Copy

Farnood Samie Yousefi, Noushin Karimian, and amin Ghodousian, “Xerus Optimization Algorithm (XOA): a novel nature-inspired metaheuristic algorithm for solving global optimization problems,” JOURNAL OF ALGORITHMS AND COMPUTATION, vol. 51, no. 2, pp. 111–126, 2019, [Online]. Available: https://sid.ir/paper/354587/en

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