Conference Information
ICSI 2019: International Conference on Swarm Intelligence
http://www.ic-si.org
Submission Date:
2019-03-15 Extended
Notification Date:
2019-04-10
Conference Date:
2019-07-26
Location:
Chiang Mai, Thailand
Years:
10
Viewed: 9749   Tracked: 5   Attend: 3

Conference Location
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Call For Papers
The Tenth International Conference on Swarm Intelligence (ICSI’2019) serves as an important forum for researchers and practitioners to exchange latest advantages in theories, technologies, and applications of swarm intelligence and related areas. The ICSI’2019 is the tenth annual event in this high-reputation ICSI series following the continuous nine previous events at Shanghai, Fukuoka, Bali, Beijing, Hefei, Harbin, Shenzhen, Chongqing and Beijing. Papers presented at the ICSI’2019 will be published by Springer-Nature in Lecture Notes in Computer Science (indexed by EI Compendex, ISTP, DBLP, SCOPUS, Web of Science ISI Thomson, etc.), some high-quality papers will be selected for SCI-indexed Transaction and Journal (including IEEE Trans, Swarm and Evolutionary Optimization, etc.).

The ICSI’2019 will be held in Chiang Mai of Thailand, which was founded in 1296 as the capital of the ancient Lanna Kingdom, located 700 km north of Bangkok in a verdant valley on the banks of the Ping River. Chiang Mai is a land of misty mountains and colorful hill tribes, a playground for seasoned travelers, a paradise for shoppers and a delight for adventurers. Chiang Mai can expand visitors’ horizons with Thai massage, cooking courses, variety of handicrafts and antiques. Despite its relatively small size, Chiang Mai truly has it all. Today it is a place where past and the present seamlessly merge with modern buildings standing side by side with venerable temples.

Topic Areas

Theories 	

    Swarm-based optimization techniques
    Swarm computing
    Artificial life
    Cognitive science
    Social evolution
    Cooperative theories
    Competitive theories
    Mutual cooperation
    Information Utilization
    Optimization theories
    Immune system theory
    Evolutionary computing
    Multi-agent theories
    Natural computing
    Simulation and emulation of nature
    Collective/Social intelligence
    Evolving intelligence
    Social computing

Algorithms 	

    PSO algorithms
    ACO algorithms
    Fireworks algorithms
    Fish school search
    Bees algorithms
    ABC algorithms
    BSO algorithms
    Cultural algorithms
    Social computing
    Genetic algorithms
    Differential evolution
    Memetic algorithms
    Bioinspired algorithm
    Cuckoo / Firefly / Bat Algorithms
    Biogeography-based Optimization
    Evolutionary programming
    Evolutionary strategy
    Learning systems
    GPU Parallelization
    Other swarm-based algorithms

Realizations 

    Swarm models
    Swarm robotics
    Multi-agent systems
    AIS system
    Evolv. intelligent agents
    Analytic models of emergent behaviors
    Evolving fuzzy system
    Evolving neural nets
    Bio-inspired computing models
    Socio-inspired computing models
    Routing and scheduling
    MOO, Many-OO
    Constrained OP
    Dynamic OP
    Combinatorial OP

Emerging Areas

    Molecular computing
    DNA computing
    Quantum computing
    Granularity computing
    Deep computing
    Pervasive computing

Applications	

    Big Data
    Deep nets & learning
    Data mining
    Machine learning
    Pattern recognition
    Automatic control
    UAV control
    Intelligent transport
    Web intelligence
    Information security
    Signal/Image process
    Computer vision
    Robotic manipulator
    Cognitive robots
    Virtual reality
    2D/3D virtual swarms
    Video surveillance
    Bioinformatics
    Data analysis/science
    Telecommunications
    Underwater vehicles
    Automatic driving
    NLP and learning
    Chess playing
    Games
    Internet+techniques
    Other SI applications
Last updated by Dou Sun in 2019-03-03
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