Stories Inspired Optimization Algorithms - The Breakthrough in Artificial Intelligence

This letter proposes and defines a new research area termed Stories Inspired Optimization Algorithms (SIOA). It notes that recent works have created optimization algorithms inspired by mothers, children, satisfied beings, humans, souls, gods and particular humans, and extends this line by taking stories as the source of inspiration. SIOA is defined as the set of all optimization algorithms created by taking inspiration from stories. To illustrate the idea, the letter presents an example story about people in a city who can fly and who imitate birds searching for food during festivals, and from it derives a sample algorithm, the Festival People Flying Algorithm (FPFA), in which the search space consists of artificial humans who can fly. Because these artificial flying humans imitate birds, the FPFA is stated to be mathematically equivalent to the Particle Swarm Optimization algorithm. The letter argues that the main advantage of the SIOA field is that the inspiration behind an optimization algorithm need not be real: if making artificial humans fly is believed to give more accurate results, a story in which humans fly can be created and used as inspiration. The author states explicitly that the letter does not claim that SIOA algorithms perform better than existing optimization algorithms.
Abstract prepared by the editorial office from the full text of the article; the authors did not supply one.