English | 2022 | ISBN: 0367546612 | 140 Pages | EPUB | 4 MB

Swarm intelligence is one of the fastest-growing sub-fields of artificial intelligence and soft computing.

This field includes multiple optimization algorithms to solve NP-hard problems for which conventional methods are not effective. It inspires researchers in eeering sciences to learn theories from nature and incorporate them.

Swarm Intelligence: Foundation, Principles, and Eeering Applications provides a comprehensive review of new swarm intelligence techniques and offers practical implementation of Particle Swarm Optimization (PSO) with MATLAB code. The book discusses the statistical analysis of swarm optimization techniques so that researchers can analyze their expent design. It also includes algorithms in social sectors, oil and gas industries, and recent research findings of new optimization algorithms in the field of eeering describing the implementation in Machine Learning.

This book is written for students of eeering, research scientists, and acadians involved in the eeering sciences.



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