Topic Areas

DMBD 2016 will feature plenary lectures given by worldwide renowned speakers, regular sessions with broad coverage, and some special sessions focused on some popular topics. Major topics to be addressed at the conference include, but are not limited to the following areas:

Topic Areas of ICSI

Theories Algorithms Models Applications
  • Swarm-based optimization techniques
  • Swarm computing
  • Stochastic diffusion search
  • Swarm robotics
  • Artificial life
  • Bioinformatics
  • Cognitive science
  • Social evolution
  • Optimization theories and methods
  • Immune system theory
  • Evolutionary computation
  • Grammatical evolution
  • Natural computing theories
  • Simulation and emulation of nature
  • Collective/Social intelligence
  • Social intelligence
  • Social computing
  • Therapeutic strategies
  • PSO algorithms
  • ACO algorithms
  • FSS algorithms
  • Bees algorithms
  • ABC algorithms
  • Cultural/Social algorithms
  • Genetic algorithms
  • Differential evolution
  • Fireworks algorithms
  • Memetic algorithms
  • Bio-inspired algorithms
  • Evolutionary programming
  • Evolutionary strategy
  • Brain storm optimization algorithm
  • Grammatical evolution
  • Evolutionary learning systems
  • Parallelization of swarm-based algorithms
  • Nature-inspired algorithms
  • Other swarm-based algorithms
  • Computational swarm models
  • Multi-agent based complex systems
  • Artificial immune system
  • Evolutionary intelligent agents
  • Analytic models of emergent behaviors
  • Evolving fuzzy system
  • Evolving neural networks
  • Bio-inspired computing models
  • Socio-inspired computing models
  • Routing and scheduling
  • Multi-objective optimization
  • Constrained environment
  • Information system
  • Combinatorial optimization models
  • Function optimization
  • Neural information system

Emerging areas

  • Molecular computing
  • DNA computing
  • Quantum computing
  • Granularity computing
  • Applications
  • Active learning
  • Deep learning
  • Data mining
  • Big Data
  • Online & Self-adaptation
  • Automatic control
  • Intelligent traffic
  • Computational Biology
  • Web intelligence
  • Intelligent energy systems and networks
  • Information security
  • Signal & Image processing
  • Pattern recognition
  • Virtual reality
  • 2D or 3D virtual swarms
  • Video surveillance
  • Telecommunications systems
  • Socio-technical systems
  • Cybernetics and self-organization
  • Natural language processing
  • Other swarm intelligence related applications

Topic Areas of BRICS-CCI

Problems Approaches Technologies
For all three 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.
 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.

Neural & Learning Systems:

  • Machine learning
  • Neural Computation (including Weigthless Neural Systems)
  • Complex systems
  • Wavelets
  • Molecular and quantum computing
  • Brain-machine interfaces
  • Science of Networks
  • Local search methods.

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.
 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.

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.

Fuzzy & Stochastic Modeling:

  • Fuzzy sets & Type-2 fuzzy logic
  • Approximate reasoning
  • Rough sets & data analysis
  • Case Based Reasoning
  • Expert systems
  • Knowledge engineering.