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International Journal of Mathematical Research

March 2018, Volume 7, 1, pp 18-25

An Artificial Human Optimization Algorithm Titled Human Thinking Particle Swarm Optimization

Satish Gajawada

,

Hassan M. H. Mustafa

Satish Gajawada 1

Hassan M. H. Mustafa 2

  1. Alumnus, Indian Institute of Technology Roorkee, India, Founder, Artificial Human Optimization - A New Field 1

  2. Faculty of Specified Education, Dept. of Educational Technology, Banha University, Egypt. 2

Pages: 18-25

DOI: 10.18488/journal.24.2018.71.18.25

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Article History:

Received: 27 July, 2018
Revised: 28 August, 2018
Accepted: 31 August, 2018
Published: 03 September, 2018


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.
Contribution/ Originality
The paper contributes a new algorithm to the Artificial Human Optimization Field. All the optimization algorithms which were proposed based on Artificial Humans will come under Artificial Human Optimization Field. The concept of Human Thinking is introduced into the Particle Swarm Optimization (PSO) to create new algorithm titled HTPSO.

Keywords:

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

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Funding:

This study received no specific financial support.

Competing Interests:

The authors declare that they have no competing interests.

Acknowledgement:

Both authors contributed equally to the conception and design of the study.

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