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