Topics of contributing papers include, but are not limited to, the following areas:

**Neural networks:**

Computational neuroscience, connectionist theory, cognitive science, mathematical
modeling of neural systems, neurodynamic analysis, neurodynamic optimization, adaptive dynamic
programming, embedded neural systems, probabilistic and information-theoretic methods, principal and
independent component analysis, hybrid intelligent systems, supervised learning, unsupervised learning,
reinforcement learning, deep learning, brain imaging, neural information processing, neuroinformatics,
bioinformatics, support vector machines and kernel methods, autonomous mental development, data
mining, big data processing, pattern recognition, time series analysis, image and signal processing, robotic
and control applications, telecommunications, transportation systems, intrusion detection and fault
diagnosis, brain computer interface, neuro-engineering, neuromorphic hardware

**Fuzzy systems:**

Fuzzy mathematics, fuzzy measure and integral, fuzzy logic, possibility theory, fuzzy
clustering, fuzzy classification, fuzzy data analysis, fuzzy decision-making, fuzzy modeling, fuzzy control,
type-2 fuzzy systems, computing with words, rough sets, granular computing, fuzzy neural networks,
neuro-fuzzy systems, fuzzy system architecture or hardware

**Evolutionary computation:**

Genetic algorithms, genetic programming, evolutionary strategy, swarm
intelligence, particle swarm optimization, ant colony optimization, differential evolution, brain storm
optimization, estimation of distribution algorithms, other meta-heuristics, evolutionary multi-objective
optimization, evolutionary scheduling, data-driven evolutionary computation, large-scale optimization,
parallel and distributed evolutionary computation, evolutionary computation for bi-level optimization,
multi-tasking evolutionary computation, evolutionary computation under uncertainty, dynamic evolutionary
algorithms, real world applications of evolutionary algorithms