An Artificial Human Optimization Algorithm Titled Human Thinking Particle Swarm Optimization

Authors

  • Satish Gajawada Alumnus, Indian Institute of Technology Roorkee, India, Founder, Artificial Human Optimization - A New Field https://orcid.org/0000-0002-1666-1140
  • Hassan M. H Mustafa Faculty of Specified Education, Dept. of Educational Technology, Banha University, Egypt

DOI:

https://doi.org/10.18488/journal.24.2018.71.18.25

Keywords:

Artificial humans, Global optimization techniques Artificial human optimization Particle swarm optimization Evolutionary computing, Nature inspired computing Genetic algorithms, Bio-Inspired computing

Abstract

Artificial Human Optimization is a latest field proposed in December 2016. Just like artificial Chromosomes are agents for Genetic Algorithms, similarly artificial Humans are agents for Artificial Human Optimization Algorithms. Particle Swarm Optimization is very popular algorithm for solving complex optimization problems in various domains. In this paper, Human Thinking Particle Swarm Optimization (HTPSO) is proposed by applying the concept of thinking of Humans into Particle Swarm Optimization. The proposed HTPSO algorithm is tested by applying it on various benchmark functions. Results obtained by HTPSO algorithm are compared with Particle Swarm Optimization algorithm.

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Published

2018-09-03

Issue

Vol. 7 No. 1 (2018)

Section

Articles

How to Cite

An Artificial Human Optimization Algorithm Titled Human Thinking Particle Swarm Optimization. (2018). International Journal of Mathematical Research, 7(1), 18-25. https://doi.org/10.18488/journal.24.2018.71.18.25