Socio-cultural Inspired Metaheuristics (Paperback, 1st ed. 2019)


This book presents the latest insights and developments in the field of socio-cultural inspired algorithms. Akin to evolutionary and swarm-based optimization algorithms, socio-cultural algorithms belong to the category of metaheuristics (problem-independent computational methods) and are inspired by natural and social tendencies observed in humans by which they learn from one another through social interactions. This book is an interesting read for engineers, scientists, and students studying/working in the optimization, evolutionary computation, artificial intelligence (AI) and computational intelligence fields.

R2,964

Or split into 4x interest-free payments of 25% on orders over R50
Learn more

Discovery Miles29640
Mobicred@R278pm x 12* Mobicred Info
Free Delivery
Delivery AdviceShips in 10 - 15 working days


Toggle WishListAdd to wish list
Review this Item

Product Description

This book presents the latest insights and developments in the field of socio-cultural inspired algorithms. Akin to evolutionary and swarm-based optimization algorithms, socio-cultural algorithms belong to the category of metaheuristics (problem-independent computational methods) and are inspired by natural and social tendencies observed in humans by which they learn from one another through social interactions. This book is an interesting read for engineers, scientists, and students studying/working in the optimization, evolutionary computation, artificial intelligence (AI) and computational intelligence fields.

Customer Reviews

No reviews or ratings yet - be the first to create one!

Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

Studies in Computational Intelligence, 828

Release date

October 2020

Availability

Expected to ship within 10 - 15 working days

First published

2019

Editors

, , , ,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

303

Edition

1st ed. 2019

ISBN-13

978-981-13-6571-3

Barcode

9789811365713

Categories

LSN

981-13-6571-7



Trending On Loot