1.

Record Nr.

UNINA9910484416403321

Titolo

Swarm, Evolutionary, and Memetic Computing : 5th International Conference, SEMCCO 2014, Bhubaneswar, India, December 18-20, 2014, Revised Selected Papers / / edited by Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015

ISBN

3-319-20294-4

Edizione

[1st ed. 2015.]

Descrizione fisica

1 online resource (XVII, 881 p. 356 illus.)

Collana

Theoretical Computer Science and General Issues, , 2512-2029 ; ; 8947

Disciplina

006.3

Soggetti

Computer science

Artificial intelligence

Algorithms

Pattern recognition systems

Computer networks

Software engineering

Theory of Computation

Artificial Intelligence

Automated Pattern Recognition

Computer Communication Networks

Software Engineering

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di contenuto

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.

Sommario/riassunto

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.