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Multi-Objective Optimization using Artificial Intelligence Techniques

  • Kartonierter Einband
  • 72 Seiten
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This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with mu... Weiterlesen
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Beschreibung

This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different paradigms to solve them. It then presents an in-depth explanations of the theory, literature review, and applications of several widely-used algorithms, such as Multi-objective Particle Swarm Optimizer, Multi-Objective Genetic Algorithm and Multi-objective GreyWolf Optimizer Due to the simplicity of the techniques and flexibility, readers from any field of study can employ them for solving multi-objective optimization problem. The book provides the source codes for all the proposed algorithms on a dedicated webpage.

Offers a concise guide to the most important multi-objective optimization techniques

Discusses in detail several experimental results

The source codes for all the proposed algorithms are provided on a dedicated webpage

Produktinformationen

Titel: Multi-Objective Optimization using Artificial Intelligence Techniques
Autor:
EAN: 9783030248345
ISBN: 3030248348
Format: Kartonierter Einband
Herausgeber: Springer International Publishing
Anzahl Seiten: 72
Gewicht: 125g
Größe: H235mm x B155mm x T4mm
Jahr: 2019
Untertitel: Englisch
Auflage: 1st ed. 2020

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