Topics of Interest-2014


Any topic related to Computational Intelligence, mainly but not limited to the following:

 

Problems

For all tracks of Congress

- Foundations of Computational Intelligence;

- Analysis & Identification;

- Modeling & Design;

- Representation & Interfacing;

- Methods & techniques of CI Hybridization;

- Simulation & Estimation;

- Signal & Sensor Processing;

- Machine learning and pattern recognition;

- Time series forecasting;

- Classification & Clustering;

- Search & Optimization (combinatorial, stochastic, dynamic, multimodal, multi-objective, etc);

- Constraint handling (Routing, Scheduling, Timetabling, allocation Neighboring, Placement, etc);

- Information retrieval & Ambient intelligence;

- Decision Problems;

- Cognitive Robotics;

- Image Processing & Computer Vision;

- Bio & Medical Informatics – Computational biology;

- Information & Network security;

- Data & Web Mining;

- E-commerce, E-Procurement & E-Government;

- Telecommunications and Networking;

- Energy generation and energy dispatch;

- Parallelization & Hardware Implementations.

Approaches

(1) Evolutionary & Swarm Computation:

- Evolutionary computing;

- Swarm intelligence;

- Artificial immune systems;

- Novel metaheuristics and hyperheuristics;

- Memetic and Collective intelligence;

- Nature and Bio-inspired methods;

- Artificial life.

(2) Neural & Learning Systems:

- Machine learning;

- Neural Computation (+Weightless Systems);

- Complex systems;

- Wavelets;

- Molecular and quantum computing;

- Brain-machine interfaces;

- Science of Networks;

- Local search methods.

 

(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;

- Multi-agent systems;

- Rough sets;

- Computational verb theory;

- Grey systems.

(4) Autonomous Mental Development

Technologies

(1) Evolutionary & Swarm Computation:

- Ant colony optimization;

- Particle swarm optimization;

- Fish School Search;

- Bee colony optimization;

- Genetic programming and Genetic algorithms;

- Cultural Algorithms and Co-Evolution;

- Evolutionary Strategy and Differential Evolution;

- Evolutionary design & scheduling;

- Danger theory and network immune systems;

- Firefly optimization;

- Glowworm Swarm Optimization;

- Cuckoo search;

- Herd optimization.

(2) Neural & Learning Systems:

- Cognitive systems and applications;

- Computer vision;

- Hardware Implementations;

- Web intelligence;

- Natural language processing & Speech understanding;

- Supervised and Unsupervised Learning;

- Semi-supervised and Weakly Supervised Learning;

- Support vector machines;

- Tabu search, iterated search, etc.

(3) Fuzzy & Stochastic Modeling:

- Fuzzy sets & Type-2 fuzzy logic;

- Approximate reasoning;

- Rough sets & data analysis;

- Case Based Reasoning;

- Expert systems;

- Knowledge engineering.

(4) Adaptive Dynamic Prog. and Reinforcement Learning

- Convergence and performance analysis

- RL and ADP-based control

- Complexity issues in RL and ADP

- Monte-Carlo 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

- Multi-level multi-objective optimization for ADPRL

- Applications of ADP and RL