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An Improved Bat Algorithm Based on Hybrid with Ant Lion Optimizer

  • Thi-Kien Dao
  • Shu-Chuan Chu
  • Jeng-Shyang Pan
  • Trong-The NguyenEmail author
  • Truong-Giang Ngo
  • Trinh-Dong Nguyen
  • Huu-Trung Tran
Conference paper
  • 23 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1107)

Abstract

Bat Algorithm (BA) is one of the fundamental algorithms for solving optimization problems. However, the BA still exists weaknesses in terms of exploitation and exploration. In this paper, an enhancing capability of exploration and exploitation for BA by hybridizing BA with Ant Lion Optimizer (ALO) is proposed for the global optimization problems. In the experimental section, several benchmark functions are used to test the performance of the proposed approach. Compared results with other algorithms literature show that the proposed method provides a new competitive algorithm.

Keywords

Improved Bat algorithm Optimization Ant Lion Optimizer Bat algorithm 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Thi-Kien Dao
    • 1
  • Shu-Chuan Chu
    • 2
  • Jeng-Shyang Pan
    • 1
    • 2
  • Trong-The Nguyen
    • 1
    • 3
    Email author
  • Truong-Giang Ngo
    • 3
  • Trinh-Dong Nguyen
    • 3
  • Huu-Trung Tran
    • 3
  1. 1.Fujian Provincial Key Lab of Big Data Mining and ApplicationsFujian University of TechnologyFujianChina
  2. 2.College of Computer Science and EngineeringShandong University of Science and TechnologyQingdaoChina
  3. 3.Department of Information TechnologyUniversity of Manage and TechnologyHaiphongVietnam

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