Recent Advances in Swarm Intelligence Algorithms and Their Applications

ISBN 10: 3036582541 / ISBN 13: 9783036582542

Published by MDPI AG, 2023

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - This book comprises a collection of 20 articles that were accepted and published in the Special Issue titled ' Recent Advances in Swarm Intelligence Algorithms and Their Applications' of the MDPI journal Mathematics. These articles cover a wide range of topics related to swarm intelligence algorithms and their theories. The topics include improvements in algorithm mechanisms, fusion algorithms, multiobjective optimization, and the optimization of large-scale problems, as well as the application of swarm intelligence in various fields such as engineering optimization problems, vehicle swarm motion, viscoelastic Maxwell-type DVA, and deep learning.It is hoped that this book will be helpful for scholars engaged in the field of swarm intelligence and also suitable for researchers interested in staying updated with the latest advancements in swarm intelligence algorithms and their applications. Nowadays, swarm intelligence is closely intertwined with various aspects of life. This book aims to provide readers with an understanding of these developments and further expand the application boundaries of such algorithms.

Seller Inventory # 9783036582542

Bibliographic Details

• Title: Recent Advances in Swarm Intelligence Algorithms and Their Applications
• Publisher: MDPI AG
• Publication Date: 2023
• Language: English
• ISBN 10: 3036582541
• ISBN 13: 9783036582542
• Binding: Buch
• Condition: Neu
• Dimensions: 250W x 175H x 36D millimeters 250 millimeters width by 175 millimeters height by 36 millimeters depth
• Weight: 1434 grams

About this title

Synopsis

This book comprises a collection of 20 articles that were accepted and published in the Special Issue titled " Recent Advances in Swarm Intelligence Algorithms and Their Applications" of the MDPI journal Mathematics. These articles cover a wide range of topics related to swarm intelligence algorithms and their theories. The topics include improvements in algorithm mechanisms, fusion algorithms, multiobjective optimization, and the optimization of large-scale problems, as well as the application of swarm intelligence in various fields such as engineering optimization problems, vehicle swarm motion, viscoelastic Maxwell-type DVA, and deep learning.

It is hoped that this book will be helpful for scholars engaged in the field of swarm intelligence and also suitable for researchers interested in staying updated with the latest advancements in swarm intelligence algorithms and their applications. Nowadays, swarm intelligence is closely intertwined with various aspects of life. This book aims to provide readers with an understanding of these developments and further expand the application boundaries of such algorithms.