Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8947)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Conference series link(s): SEMCCO: International Conference on Swarm, Evolutionary, and Memetic Computing
Conference proceedings info: SEMCCO 2014.
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Table of contents (74 papers)
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Front Matter
About this book
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.
Keywords
- Artificial neural networks
- Character recognition
- Classification
- Clustering
- Data mining
- Evolutionary algorithms
- Fuzzy logic
- Genetic algorithms
- Heuristic optimization
- Hybrid algorithm
- Image segmentation
- Machine learning
- Modeling
- Multi-agent system
- Multi-objective optimization
- Online social network
- Particle swarm optimization
- QoS
- Swarm intelligence
- Text mining
Editors and Affiliations
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Department of Electrical Engineering, IIT, New Delhi, India
Bijaya Ketan Panigrahi
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School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore
Ponnuthurai Nagaratnam Suganthan
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Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India
Swagatam Das
Bibliographic Information
Book Title: Swarm, Evolutionary, and Memetic Computing
Book Subtitle: 5th International Conference, SEMCCO 2014, Bhubaneswar, India, December 18-20, 2014, Revised Selected Papers
Editors: Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-20294-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-20293-8Published: 11 August 2015
eBook ISBN: 978-3-319-20294-5Published: 31 July 2015
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVII, 881
Number of Illustrations: 356 b/w illustrations
Topics: Computation by Abstract Devices, Artificial Intelligence, Algorithm Analysis and Problem Complexity, Pattern Recognition, Computer Communication Networks, Software Engineering