Kookaburra Optimization Algorithm: A New Bio-Inspired Metaheuristic Algorithm for Solving Optimization Problems
Dehghani M. Montazeri Z. Bektemyssova G. Malik O.P. Dhiman G. Ahmed A.E.M.
October 2023Multidisciplinary Digital Publishing Institute (MDPI)
Biomimetics
2023#8Issue 6
In this paper, a new bio-inspired metaheuristic algorithm named the Kookaburra Optimization Algorithm (KOA) is introduced, which imitates the natural behavior of kookaburras in nature. The fundamental inspiration of KOA is the strategy of kookaburras when hunting and killing prey. The KOA theory is stated, and its mathematical modeling is presented in the following two phases: (i) exploration based on the simulation of prey hunting and (ii) exploitation based on the simulation of kookaburras’ behavior in ensuring that their prey is killed. The performance of KOA has been evaluated on 29 standard benchmark functions from the CEC 2017 test suite for the different problem dimensions of 10, 30, 50, and 100. The optimization results show that the proposed KOA approach, by establishing a balance between exploration and exploitation, has good efficiency in managing the effective search process and providing suitable solutions for optimization problems. The results obtained using KOA have been compared with the performance of 12 well-known metaheuristic algorithms. The analysis of the simulation results shows that KOA, by providing better results in most of the benchmark functions, has provided superior performance in competition with the compared algorithms. In addition, the implementation of KOA on 22 constrained optimization problems from the CEC 2011 test suite, as well as 4 engineering design problems, shows that the proposed approach has acceptable and superior performance compared to competitor algorithms in handling real-world applications.
bio-inspired , exploitation , exploration , kookaburra , metaheuristic , optimization
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Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, 7155713876, Iran
Department of Computer Engineering, International Information Technology University, Almaty, 050000, Kazakhstan
Department of Electrical and Software Engineering, University of Calgary, Calgary, T2N 1N4, AB, Canada
Department of Electrical and Computer Engineering, Lebanese American University, Byblos, 13-5053, Lebanon
University Centre for Research and Development, Department of Computer Science and Engineering, Chandigarh University, Mohali, 140413, India
Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, 248002, India
Division of Research and Development, Lovely Professional University, Phagwara, 144411, India
Faculty of Computer Engineering, King Salman International University, El Tor, 46511, Egypt
Department of Electrical and Electronics Engineering
Department of Computer Engineering
Department of Electrical and Software Engineering
Department of Electrical and Computer Engineering
University Centre for Research and Development
Department of Computer Science and Engineering
Division of Research and Development
Faculty of Computer Engineering
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