Swarm, Evolutionary, and Memetic Computing
5th International Conference, SEMCCO 2014, Bhubaneswar, India, December 18-20, 2014, Revised Selected Papers
Published on 11. August 2015
Book
Paperback/Softback
XVII, 881 pages
978-3-319-20293-8 (ISBN)
Description
This volume constitutes the thoroughly refereed post-conference proceedings of the 5th International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2014, held in Bhubaneswar, India, in December 2014.
The total of 96 papers presented in this volume was carefully reviewed and selected from 250 submissions for inclusion in the proceedings. The papers cover a wide range of topics in swarm, evolutionary, memetic and other intelligent computing algorithms and their real world applications in problems selected from diverse domains of science and engineering.
More details
Series
Edition
1st ed. 2015
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Research
Illustrations
356 s/w Abbildungen
XVII, 881 p. 356 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 48 mm
Weight
1334 gr
ISBN-13
978-3-319-20293-8 (9783319202938)
DOI
10.1007/978-3-319-20294-5
Schweitzer Classification
Other editions
Additional editions
Bijaya Ketan Panigrahi | Ponnuthurai Nagaratnam Suganthan | Swagatam Das
Swarm, Evolutionary, and Memetic Computing
5th International Conference, SEMCCO 2014, Bhubaneswar, India, December 18-20, 2014, Revised Selected Papers
E-Book
07/2015
Springer
€53.49
Available for download
Content
Differential Evolution with Two Subpopulations.- Intelligent Water Drops Algorithm for Multimodal Spaces.- Glowworm Swarm based Informative attribute.- Simultaneous Feature Selection and Classification.- TLBO Based Hybrid Forecasting Model for Prediction of Exchange Rates.- Evaluating Internet Information Search Channels using Hybrid MCDM technique.- Image Restoration with Fuzzy Coefficient Driven Anisotropic Diffusion.- Principal Component Analysis and General Regression Auto Associative Neural Network Hybrid as One-Class Classifier.- Software Effort Estimation Using Functional Link Neural Networks Tuned with Active Learning and Optimized with Particle Swarm Optimization.- Fraud Detection in Financial Statements using Evolutionary Computation based Rule Miners.- A Fuzzy Entropy based Multi-level Image Thresholding using Differential Evolution.