Welcome to CIIS2017!

The 2017 International Conference on Computing Intelligence and Information System [CIIS2017]

April 21st-23rd, 2017, Nanjing, China 

Note: All accepted papers will be submitted to EI, IEEE Xplore and CPCI for indexing.

The 2017 International Conference on Computing Intelligence and Information System [CIIS2017]

April 21st-23rd, 2017, Nanjing, China 

Note: All accepted papers will be submitted to EI, IEEE Xplore and CPCI for indexing.

CALL FOR PAPER



Session 1: Evolutionary & Swarm Computation:
Evolutionary computing;
Swarm intelligence;
Artificial immune systems;
Novel metaheuristics and hyperheuristics;
Memetic and Collective intelligence;
Nature and Bioinspired methods;
Artificial life;
Ant colony optimization;
Particle swarm optimization;
Fish School Search;
Bee colony optimization;
Genetic programming and Genetic algorithms;
Cultural Algorithms and CoEvolution;
Evolutionary Strategy and Differential Evolution;
Evolutionary design & scheduling;
Danger theory and network immune systems;
Firefly optimization;
Glowworm Swarm Optimization;
Cuckoo search;
Herd optimization.

Session 2: Neural & Learning Systems:
Machine learning;
Neural Computation (+Weightless Systems);
Complex systems;
Wavelets;
Molecular and quantum computing;
Brainmachine interfaces;
Science of Networks;
Cognitive systems and applications;
Computer vision;
Hardware Implementations;
Web intelligence;
Natural language processing & Speech understanding;
Supervised and Unsupervised Learning;
Semisupervised and Weakly Supervised Learning;
Support vector machines;
Tabu search, iterated search, etc;
Local search methods.

Session 3: Fuzzy & Stochastic Modeling:
Fuzzy logic;
Fuzzy optimization and design;
Fuzzy pattern recognition;
Uncertainty analysis;
Fractals;
Game theory;
Social Simulation;
Fuzzy control & decision making/support;
Multiagent systems;
Rough sets;
Computational verb theory;
Grey systems;
Fuzzy sets & Type2 fuzzy logic;
Approximate reasoning;
Rough sets & data analysis;
Case Based Reasoning;
Expert systems;
Knowledge engineering.

Session 4: Convergence and performance analysis:
RL and ADPbased control;
Complexity issues in RL and ADP;
MonteCarlo tree search and other MC methods;
Statistical learning and PAC bounds for RL;
Bayesian RL and exploration;
Partially observable Markov decision processes;
Neuroscience and biologically inspired control;
ADP / RL for multiplayer games and multiagent systems;
Distributed intelligent systems;
Multilevel multiobjective optimization for ADPRL;
Applications of ADP and RL.

Session 5: Information Systems and Application:
Intelligent Systems;
Information Engineering; 
Soft computing, Fuzzy Systems and ANN;
Parallel and distributed systems;
Embedded systems design; 
Cloud and Green Computing; 
Computer Vision and AI;
Biometry and Bio-informatics; 
E-commerce;
Engineering Management;
MIMO and MEMS;
VLSI and SOCS;
E-Governance;
Human Computer Interaction;
Management Information System;
Geographic Information System.

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