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.
Highlights
IntroductionFrom 1970’s to till date, there are hundreds of Nature Inspired Optimization Algorithms proposed in literature
John Henry Holland proposed Genetic Algorithms in 1970’s
Another Research Scientist replied the following algorithms as answer to the above question: Answer: “The following is the list of various Nature Inspired Optimization Algorithms: 1. Genetic Algorithms (GA) 2
Summary
From 1970’s to till date, there are hundreds of Nature Inspired Optimization Algorithms proposed in literature. From the above answer we can find that many Nature Inspired Optimization algorithms are proposed in literature till date. AGO field is defined as follows: Artificial Birds are the basic entities in Particle Swarm Optimization algorithm. All the optimization algorithms which are proposed based on Artificial Gods will come under AGO Field. Each Artificial God corresponds to a point in search space. AGO Field concepts are applied to Particle Swarm Optimization (PSO) algorithm to create New AGO Field algorithms. There are no Artificial God Optimization Algorithms (AGO Algorithms) proposed in literature.
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