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Improved Whale Optimization Algorithm for Numerical Optimization

  • A. K. Vamsi KrishnaEmail author
  • Tushar Tyagi
Conference paper
  • 19 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1086)

Abstract

In this paper, an Improved Whale Optimization Algorithm which is intended towards the better optimization of the solutions under the category of meta-heuristic algorithms is proposed. Falling under the genre of nature-inspired algorithms, the Improved Whale Optimization delivers better results with comparatively better convergence techniques used. A detailed study and comparative analysis have been made between the principal and the modified algorithms, and a variety of fitness functions has been used to confirm the efficiency of the improved algorithm over the older version. The merits with nature-inspired algorithms include distributed computing, reusable components, network processes, mutations and crossovers leading to better results, randomness and stochasticity.

Keywords

Optimization algorithms Nature-inspired algorithms Whale Optimization Algorithm Bubble-net forging Meta-heuristic algorithm Randomization Fitness function Spiral updating Encircling mechanism 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2021

Authors and Affiliations

  1. 1.School of Electronics and Electrical EngineeringLovely Professional UniversityJalandharIndia

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