A practical approach to optimization

Authors

  • W. Jirakitpuwapat King Mongkut's University of Technology Thonburi (KMUTT), 126 Pracha-Uthit Road, Bang Mod, Thrung Khru, Bangkok 10140, Thailand
  • P. Kumam King Mongkut's University of Technology Thonburi (KMUTT), 126 Pracha-Uthit Road, Bang Mod, Thrung Khru, Bangkok 10140, Thailand
  • K. Khammahawong King Mongkut's University of Technology Thonburi (KMUTT), 126 Pracha-Uthit Road, Bang Mod, Thrung Khru, Bangkok 10140, Thailand
  • S. Dhompongsa King Mongkut's University of Technology Thonburi (KMUTT), 126 Pracha-Uthit Road, Bang Mod, Thrung Khru, Bangkok 10140, Thailand

Keywords:

convex algorithm, optimization, particle swarm optimization, pattern-search

Abstract

We present a new approach for finding a minimal value of an arbitrary function assuming only its continuity. The process avoids verifying Lagrange- or KKT-conditions. The method enables us to obtain a Brouwer fixed point (of a continuous function mapping from a cube into itself).

Additional Files

Published

2021-04-01

How to Cite

Jirakitpuwapat, W., Kumam, P., Khammahawong, K., & Dhompongsa, S. . (2021). A practical approach to optimization. Journal of Nonlinear Analysis and Optimization: Theory & Applications, 12(1), 13-20. Retrieved from http://www.math.sci.nu.ac.th/ojs302/index.php/jnao/article/view/625

Issue

Section

Research Article

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