Artificial God Optimization - a Creation

EasyChair Preprint no. 11070

Abstract

Nature Inspired Optimization Algorithms have become popular for solving complex Optimization problems. Two most popular Global Optimization Algorithms are Genetic Algorithms (GA) and Particle Swarm Optimization (PSO). Of the two, PSO is very simple and many Research Scientists have used PSO to solve complex Optimization Problems. Hence PSO is chosen in this work. The primary focus of this paper is on imitating God who created the nature. Hence the term "Artificial God Optimization (AGO)" is coined in this paper. AGO is a new field which is invented in this work. A new Algorithm titled "God Particle Swarm Optimization (GoPSO)" is created and applied on various benchmark functions. The World's first Hybrid PSO Algorithm based on Artificial Gods is created in this work. GoPSO is a hybrid Algorithm which comes under AGO Field as well as PSO Field. Results obtained by PSO are compared with created GoPSO algorithm. A list of opportunities that are available in AGO field for Artificial Intelligence field experts are shown in this work.

Keyphrases: Artificial God Computing, Artificial God Optimization, Artificial Gods, Artificial Human Optimization, Artificial Intelligence, Bio-inspired computing, Computational Intelligence, Evolutionary Computing, Genetic Algorithms, machine learning, Nature Inspired Computing, Particle Swarm Optimization

@Booklet{EasyChair:11070,
  author = {Satish Gajawada and Hassan Mustafa},
  title = {Artificial God Optimization - a Creation},
  howpublished = {EasyChair Preprint no. 11070},

  year = {EasyChair, 2023}}