Artificial Human Optimization-An Introduction

Abstract

The goal of this article is : 1) To popularize "Artificial Human Optimization" field 2) To show opportunities that exist in "Artificial Human Optimization" field. 3) To Design an optimization method based on Artificial Humans 4) To show reviews of papers in "Artificial Human Optimization" field 5) To make corrections to my previous work in "Artificial Human Optimization" field 6) To encourage researchers across the globe to work in "Artificial Human Optimization" field 7) To give Artificial Human Optimization award to researchers who contributed to this new field

An Artificial Human Optimization Algorithm Titled Human Thinking Particle Swarm Optimization

“…But in Human Thinking Particle Swarm Optimization, both strategies happen in the same generation and all generations follow the same strategy. That is moving towards the best and moving away from the worst strategies happen simultaneously in the same generation unlike MSHO designed in Satish [4]. The Proposed HTPSO algorithm is shown below: From Figure 11 and Figure 12 we can see that Optimal value given by proposed HTPSO is 5.305778 where as PSO gave optimal solution as 0 which is the global optimal of Bohachevsky Function.…”

“…But Human Thinking is such that they not only move towards best but also moves away from the worst. This concept was used to design algorithm titled "Multiple Strategy Human Optimization (MSHO)" in Satish [4]. In MSHO, artificial Humans move towards the best in even generations and move away from the worst in odd generations.…”

“…will come under Artificial Human Optimization Field. Papers [1][2][3][4][5][6][7][8] give introduction to Artificial Human Optimization Field.…”