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Swarm Intelligence Based Optimization : First International Conference, ICSIBO 2014, Mulhouse, France, May 13-14, 2014. Revised Selected Papers / edited by Patrick Siarry, Lhassane Idoumghar, Julien Lepagnot.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Siarry, Patrick, Editor.
Idoumghar, Lhassane, Editor.
Lepagnot, Julien, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 8472
Theoretical Computer Science and General Issues, 2512-2029 ; 8472
Language:
English
Subjects (All):
Algorithms.
Computer science.
Application software.
Artificial intelligence.
Information storage and retrieval systems.
Database management.
Theory of Computation.
Computer and Information Systems Applications.
Artificial Intelligence.
Information Storage and Retrieval.
Database Management.
Local Subjects:
Algorithms.
Theory of Computation.
Computer and Information Systems Applications.
Artificial Intelligence.
Information Storage and Retrieval.
Database Management.
Physical Description:
1 online resource (X, 193 pages) : 55 illustrations
Edition:
1st ed. 2014.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2014.
System Details:
text file PDF
Summary:
This book constitutes the thoroughly refereed post-conference proceedings of the 1st International Conference on Swarm Intelligence Based Optimization, ICSIBO 2014, held in Mulhouse, France, in May 2014. The 20 full papers presented were carefully reviewed and selected from 48 submissions. Topics of interest presented and discussed in the conference focuses on the theoretical progress of swarm intelligence metaheuristics and their applications in areas such as: theoretical advances of swarm intelligence metaheuristics, combinatorial, discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large-scale optimization, artificial immune systems, particle swarms, ant colony, bacterial foraging, artificial bees, fireflies algorithm, hybridization of algorithms, parallel/distributed computing, machine learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles, adaptation and applications of swarm intelligence principles to real world problems in various domains.
Contents:
Combining PSO and FCM for Dynamic Fuzzy Clustering Problems
Metaheuristics for solving a hybrid flexible flowshop problem with sequence-dependent setup times
Using Particle Swarm Optimization Method to Invert Active Surface Waves
A Fuzzy-Controlled Comprehensive Learning Particle Swarm Optimizer
Fuzzy Logic Control Optimized by Artificial Immune System for Building Thermal Condition
Smooth trajectory planning for robot using particle swarm optimization
Multi-level parallelization for hybrid ACO
Parallel and Distributed Implementation Models for Bio-inspired Optimization Algorithms
Using bio-inspired algorithm to compensate web page color contrast for dichromat users
Comparison of two swarm intelligence optimization algorithms on the textual color problem for web accessibility
How Much Forcing is Necessary to Let the Results of Particle Swarms Converge?
The use of ontology in semantic analysis of the published learners messages for adaptability
A Hybrid PSO Applied to the Flexible Job Shop with Transport
Multiple Mobile Target Tracking in Wireless Sensor Networks
Swarm projects: beyond the metaphor
An enhanced Particle Swarm Optimisation algorithm combined with Neural Networks to decrease computational time
Robust Multi-Agent Patrolling Strategies using Reinforcement Learning
BSG-Starcraft Radius improvements of Particle Swarm Optimization
Algorithm: an application to Ceramic Matrix Composites
An Efficient ACO-SA Hybrid Metaheuristic for the Synchronization of Single Frequency Networks in Broadcasting
Floods Trajectories Modeling and Dynamic Relief Planning: A Bees Foraging Approach.
Other Format:
Printed edition:
ISBN:
978-3-319-12970-9
9783319129709
Access Restriction:
Restricted for use by site license.

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