The Fourth International Conference on Swarm Intelligence (ICSI’2013) will be held in Harbin, China from June 12 to 15, 2013. Located in the center of Northeast Asia, Harbin is called the bright pearl on the Bridge of Eurasia Land, and it is also an important hub of Eurasia Land Bridge and air corridor. The special historical course and geographical position has contributed to Harbin, the beautiful city with an exotic tone, which not only brings together the historical culture of northern ethnic minorities, but also combines western and eastern culture. It is a famous historical and tourist city in China, with many beautiful names such as “the City of Culture”, “the City of Music”, “Ice City”, “A Pearl under the Neck of the Swan”, “Eastern Moscow” and “Eastern Little Paris”.
ICSI’2013 serves as a forum for scientists, engineers, educators, and practitioners to exchange the latest advantages in theories, technologies, and applications of swarm intelligence and related areas,including theories,algorithms, models and applications. Prospective authors are invited to contribute high-quality papers (6-10 pages) to ICSI’2013 through Online Submission System. Submitting to ICSI’2013 is a blind submission and the reviewing is double blind again at this year. Papers presented at ICSI’2013 will be published in Springer’s Lecture Notes in Computer Science (indexed by EI, ISTP, DBLP, and ISI) and some high-quality papers will be selected for special issues in SCI-indexed International Journals.

Theories

Swarm-based techniques
Swarm computing models
Particle swarm optimization
Ant colony optimization
Fish school search
Stochastic diffusion search (SDS)
Swarm robotics
Artificial life
Bioinformatics
Cognitive science
Social evolution
Optimization theory and methods
Immune system theory
Evolutionary computation
Grammatical Evolution
Natural computing
Simulation and emulation of nature
Multi-agent based complex systems
Collective intelligence
Social intelligence
Social computing

Algorithms
PSO algorithms
ACO algorithms
FSS algorithms
Bees algorithm
Artificial Bee Colony Algorithms
Fireworks algorithms
Brain Strom Optimization algorithm
Cultural algorithms
Genetic algorithms
Co-evolution algorithms
Memetic algorithms
Bio-inspired algorithms
Evolutionary programming
Evolutionary strategy
Hybridization method
Evolutionary learning systems
Parallelizing algorithms
others
Emerging areas
Molecular Computing
DNA computing
Quantum computing
Granularity computing

Models
Computational swarm models
Artificial immune system
Multi-objective optimization
Evolutionary intelligent agents
Constrained environment
Information System
Analytic models of emergent behaviors
Classifier system
Evolving fuzzy system
Evolving neural networks
Models for social insets
Bio-inspired computing models
Socio-inspired computing models
Hybridizations of algorithms
Parallelization of swarm-based algorithms
Parallelization of evolutionary computing
others


Applications
Pattern recognition
Intelligent control
Intelligent Energy Systems and Networks
Financial prediction
Information security
Web intelligence
Data mining
Knowledge discovery
Neural system
2D or 3D virtual swarms
Virtual reality
Audio or Image processing
Telecommunications systems
Evolutionary robotics
Automatic control
Routing
Socio-technical systems
Scheduling
Cybernetics and self-organization
Intelligent traffics
Simulations
Electronics systems
Defense security
Video surveillance