TY  - BOOK
AU  - Panigrahi,Bijaya Ketan
AU  - Suganthan,Ponnuthurai Nagaratnam
AU  - Das,Swagatam
ED  - SpringerLink (Online service)
TI  - Swarm, Evolutionary, and Memetic Computing: 5th International Conference, SEMCCO 2014, Bhubaneswar, India, December 18-20, 2014, Revised Selected Papers 
T2  - Theoretical Computer Science and General Issues
SN  - 9783319202945
AV  - QA75.5-76.95 
PY  - 2015///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Computer science
KW  - Artificial intelligence
KW  - Computer software
KW  - Optical pattern recognition
KW  - Computer Communication Networks
KW  - Software engineering
KW  - Computation by Abstract Devices
KW  - Artificial Intelligence
KW  - Algorithm Analysis and Problem Complexity
KW  - Pattern Recognition
KW  - Software Engineering
N1  - 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
N2  - 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
UR  - https://doi.org/10.1007/978-3-319-20294-5
ER  -