Solutions To Improve The Performance Of Cuckoo Optimization Algorithm

Articles in Press

Document Type : Industry Article

Authors

1 Payame noor university

2 Payame Noor University

Abstract

This paper presents strategies to enhance the performance of the Cuckoo Search Algorithm. These strategies include modifications and new methods for determining the number of eggs each cuckoo lays, setting the egg-laying radius, and defining the step size of migration. The proposed strategies were evaluated using the Sphere and Rastrigin benchmark functions, and the results indicate that these methods outperform the original Cuckoo Search Algorithm. The first proposal, which focuses on determining the number of eggs each cuckoo lays, showed significant improvement in solving the Sphere and Rastrigin functions. Additionally, the second set of proposals, concerning the egg-laying radius and migration step size, also led to considerable improvements in solving the benchmark functions. Finally, the simultaneous application of both proposed modifications to the basic Cuckoo Search Algorithm demonstrated substantial enhancements in optimizing the benchmark functions. Therefore, the proposed modifications can serve as reliable strategies, alongside other improvements, for solving optimization problems using the Cuckoo Search Algorithm.

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Journal of Modeling in Engineering

Articles in Press, Accepted Manuscript
Available Online from 05 January 2025

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History

  • Receive Date: 01 June 2024
  • Revise Date: 21 December 2024
  • Accept Date: 01 January 2025

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