Image of Recent Advances in Swarm Intelligence and Evolutionary Computation
Bookmark Share

Text

Recent Advances in Swarm Intelligence and Evolutionary Computation

This timely review volume summarizes the state-of-the-art developments in nature-inspired algorithms and applications with the emphasis on swarm intelligence and bio-inspired computation. Topics include the analysis and overview of swarm intelligence and evolutionary computation, hybrid metaheuristic algorithms, bat algorithm, discrete cuckoo search, firefly algorithm, particle swarm optimization, and harmony search as well as convergent hybridization. Application case studies have focused on the dehydration of fruits and vegetables by the firefly algorithm and goal programming, feature selection by the binary flower pollination algorithm, job shop scheduling, single row facility layout optimization, training of feed-forward neural networks, damage and stiffness identification, synthesis of cross-ambiguity functions by the bat algorithm, web document clustering, truss analysis, water distribution networks, sustainable building designs and others.

As a timely review, this book can serve as an ideal reference for graduates, lecturers, engineers and researchers in computer science, evolutionary computing, artificial intelligence, machine learning, computational intelligence, data mining, engineering optimization and designs.

Availability

No copy data

Detail Information
Series Title
-
Call Number
006.3
Publisher
Cham, Switzerland : .,
Collation
-
Language
English
ISBN/ISSN
-
Classification
006.3
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Artificial Intelligence
Specific Detail Info
-
Statement of Responsibility
Other Information
Cataloger
Firli
Source
https://link.springer.com/book/10.1007/978-3-319-13826-8
Validator
-
Other version/related

No other version available

File Attachment
Comments
You must be logged in to post a comment