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.