English | 2022 | ISBN: 0367546612 | 141 pages | True PDF | 7.11 MB
Swarm intelligence is one of the fastest growing subfields 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.
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 analyse 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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