Research India Publications

Aim and Scope

Computational intelligence is a well-established paradigm, where new theories with a sound biological understanding have been evolving. The current experimental systems have many of the characteristics of biological computers and are beginning to be built to perform a variety of tasks that are difficult or impossible to do with conventional computers. In a nutshell, which becomes quite apparent in light of the current research pursuits, the area is heterogeneous as being dwelled on such technologies as neurocomputing, fuzzy systems, probabilistic reasoning, artificial life, evolutionary algorithms, multi-agent systems and so on.

IJCIR is a peer reviewed international journal with a key objective to provide the academic and industrial community a medium for presenting original cutting edge research related to computational intelligence and its applications. IJCIR invites authors to submit their original and unpublished work that communicates current research on computational intelligence both the theoretical and methodological aspects, as well as various applications in real world problems from science, technology, business or commerce.

Journal Topics

Topics of interest include but not limited to:

Computational Intelligence

Systems Architectures and Development Artificial neural networks

Learning theory (supervised/ unsupervised/ reinforcement learning)

Knowledge based neural networks

Neural network optimization

Support vector machines

Fuzzy Systems, fuzzy logic and possibility theory

Fuzzy expert systems

Fuzzy system design using evolutionary algorithms

Fuzzy system modeling and simulation

Fuzzy systems and applications

Rough sets

Granular computing

Evolutionary Algorithms

Genetic algorithms, evolution strategies, genetic programming and

evolutionary programming

Learning Classifiers

Hybrid evolutionary algorithms

Fusion of neural network- fuzzy systems

Fusion of fuzzy systems- evolutionary algorithms

Fusion of neural network - evolutionary algorithms

Fusion of neural network- fuzzy systems- evolutionary algorithms

Intelligent agents (architectures, environments, adaptation/ learning

and knowledge management)

Bayesian networks and probabilistic reasoning

Swarm intelligence

Ant colony optimization

Multi-agent systems

Computational Intelligence Applications

Signal processing

Web mining

Control and automation

Industrial and medical diagnosis

Pattern recognition

Fault monitoring

Bioinformatics

Data mining

Business information systems

Communication and Networking

Information Security

Decision support systems

Knowledge management

Information retrieval and text mining

Guidelines for Contributors