Artificial Soul Optimization - an Invention

EasyChair Preprint 11064

Abstract

The Soul is eternal and exists even after death of a person or animal. The main idea that is captured in this work is that soul continues to exist and takes a different body after the death. The primary goal of this work is to invent a new field titled "Artificial Soul Optimization (ASO)". The term "Artificial Soul Optimization" is coined in this paper. All the Optimization algorithms which are proposed based on Artificial Souls will come under "Artificial Soul Optimization" Field (ASO Field). In the Particle Swarm Optimization and Artificial Human Optimization, the basic entities in search space are Artificial Birds and Artificial Humans respectively. Similarly, in Artificial Soul Optimization, the basic entities in search space are Artificial Souls. In this work, the ASO Field concepts are added to Particle Swarm Optimization (PSO) algorithm to create a new hybrid algorithm titled "Soul Particle Swarm Optimization (SoPSO). The proposed SoPSO algorithm is applied on various benchmark functions. Results obtained are compared with PSO algorithm. The World's first Hybrid PSO algorithm based on Artificial Souls is created in this work.

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

@booklet{EasyChair:11064,
  author    = {Satish Gajawada and Hassan Mustafa},
  title     = {Artificial Soul Optimization - an Invention},
  howpublished = {EasyChair Preprint 11064},
  year      = {EasyChair, 2023}}