Artificial Soul Optimization

VHAAI means Very Highly Advanced Artificial Intelligence. ISVHAAI means International Society for VHAAI. VHAAI field is used by ISVHAAI Society in an attempt to solve problems. A new algorithm titled Friendship Human Swarm Optimization (FdHSO) is designed in this Letter No. 8 of ISVHAAI AI Society Letters.

VHAAI and ISVHAAI stands for Very Highly Advanced Artificial Intelligence and International Society for Very Highly Advanced Artificial Intelligence respectively. This is the ISVHAAI Artificial Intelligence Society Letter No. 7 in which a novel algorithm titled Family Human Swarm Optimization (FHSO) is designed.

The relation between Very Highly Advanced Artificial Intelligence (VHAAI) and International Society for Very Highly Advanced Artificial Intelligence (ISVHAAI) is that ISVHAAI AI Society uses VHAAI field to address various problems. In this Letter No. 6 of ISVHAAI Letters, a new algorithm titled "Scientist Swarm Optimization (SSO)" is designed.

Particle Swarm Optimization (PSO) is a popular and widely used optimization algorithm for solving complex problems. It is known for its simplicity and ease of implementation. Artificial Birds move in search space to find optimal solution. Although many PSO algorithms were proposed in literature the concepts like happiness and health are not yet explored in PSO algorithms. This article is based on this research gap. Happiness and Health Particle Swarm Optimization (HaHePSO) algorithm is created by incorporating the Happiness and Health concepts into Particle Swarm Optimization algorithm. Each particle in HaHePSO algorithm is associated with happiness and health variables. The movement of Artificial Birds in PSO algorithm is based on fitness values. In HaHePSO algorithm the movement of Artifical Birds is dependent on happiness, health and fitness values. In PSO algorithm Artificial Birds move in the direction of local best and global best of fitness values. This idea is extended in HaHePSO algorithm where Artificial Birds move in the direction of local best and global best of happiness, health and fitness values. The HaHePSO algorithm proposed in this article takes more space and requires extra computation compared to PSO algorithm. This is due to the fact that each particle now has happiness and health variables associated with it and movement in search space is guided by the fitness, happiness and health values.

Several Human-Inspired Metaheuristic Optimization Algorithms were proposed in literature. But the concept of Devotees-Inspired Metaheuristic Optimization Algorithms is not yet explored. In this article, Lord Rama Devotees Algorithm (LRDA) is proposed which is a new Devotees-Inspired Metaheuristic Optimization Algorithm.

Preface: In 20th and 21st Centuries the global optimization algorithms were created by taking inspiration from birds (Particle Swarm Optimization), ants (Ant Colony Optimization), chromosomes (Genetic Algorithms) etc. In “Twenty Second Century Artificial Intelligence” book global optimization algorithms are created by taking inspiration from Humans, Souls, Gods, Satisfied Beings, Mothers, Children, Particular Human Beings and Stories.

In 20th and 21st Centuries research scientists focused mainly on Brain Inspired Computing. In “Twenty Second Century Artificial Intelligence” book a new path is shown where algorithms are created by taking inspiration from both heart and brain.

In 20th and 21st Centuries the path of “Artificial Intelligence” is the main focus of research. In “Twenty Second Century Artificial Intelligence” book we defined “Artificial Satisfaction”.

In 20th and 21st Centuries researchers created many algorithms by taking inspiration from Nature (Nature Inspired Computing). In “Twenty Second Century Artificial Intelligence” book we created “Nature Plus Plus Inspired Computing”.

Abstract: The book defines various new paths as nine different chapters. First, second and third chapters deal with “Artificial Human Optimization”, “Artificial Soul Optimization” and “Artificial God Optimization” respectively.

Three new branches titled “Artificial Satisfaction”, “Deep Loving” and “Nature Plus Plus Inspired Computing” are shown in fourth, fifth and sixth chapters respectively.

The seventh chapter describes “Artificial Heart Neural Networks” where algorithms are created by taking inspiration from both Heart and Brain.

Two new branches “Artificial Excellence” and “Stories Inspired Optimization Algorithms” are created in last two chapters of this book.