Artificial Soul Optimization
DOI:
https://doi.org/10.9734/bpi/mono/978-93-5547-146-8/CH2Keywords:
Artificial souls, artificial soul optimization, artificial soul computing, computational intelligence, evolutionary computing, particle swarm optimization, genetic algorithms, artificial human optimization, bio-inspired computing, nature inspired computing, machine learning, artificial intelligenceAbstract
The soul is eternal and continues to exist even after a person or animal has died. The major theme conveyed in this work is that the soul continues to exist after death and takes on a new body. The main purpose of this chapter is to create a new field known as "Artificial Soul Optimization (ASO)." In this work, the phrase "Artificial Soul Optimization" is coined. All optimization techniques based on Artificial Souls will be classified as part of the "Artificial Soul Optimization" field (ASO Field). Artificial Birds and Artificial Humans are the basic entities in search space in Particle Swarm Optimization and Artificial Human Optimization, respectively. Artificial Souls are the basic entities in the search space in Artificial Soul Optimization. The ASO Field ideas are combined with the Particle Swarm Optimization (PSO) algorithm in this paper to develop a novel hybrid algorithm titled "Soul Particle Swarm Optimization" (SoPSO).Various benchmark functions are used to test the proposed SoPSO method. The results are compared to the PSO algorithm. This study creates the world's first Hybrid PSO algorithm based on Artificial Souls.
