Swarm Intelligence (eBook)

Foundation, Principles, and Engineering Applications
Artikelnummer: 978-1-00-052974-6
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
CHF 99.30
decrease increase

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 engineering sciences to learn theories from nature and incorporate them.

Swarm Intelligence: Foundation, Principles, and Engineering 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 analyse their experiment design. It also includes algorithms in social sectors, oil and gas industries, and recent research findings of new optimization algorithms in the field of engineering describing the implementation in machine learning.

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

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 engineering sciences to learn theories from nature and incorporate them.

Swarm Intelligence: Foundation, Principles, and Engineering 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 analyse their experiment design. It also includes algorithms in social sectors, oil and gas industries, and recent research findings of new optimization algorithms in the field of engineering describing the implementation in machine learning.

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

Schreiben Sie Ihre eigene Bewertung
  • Nur registrierte Benutzer können Produkte bewerten
*
*
Schlecht
Sehr gut
*
*
*
*
VerlagTaylor & Francis Ebooks
EinbandPDF
Erscheinungsjahr2022
Seitenangabe140 S.
AusgabekennzeichenEnglisch
Abbildungen39 schwarz-weiße Abbildungen, 9 schwarz-weiße Fotos, 30 schwarz-weiße Zeichnungen, 12 schwarz-weiße Tabellen
Auflage22001 A. 1. Auflage
PlattformPDF
AutorSharma, Abhishek / Sharma, Abhinav / Pandey, Jitendra Kumar / Ram, Mangey

Weitere Titel von Abhishek Sharma

Produktbewertungen
Nur registrierte Benutzer können Produkte bewerten