Journal Guide

Swarm Intelligence is the principal peer reviewed publication dedicated to reporting research and new developments in this multidisciplinary field. The journal publishes original research articles and occasional reviews on theoretical, experimental, and practical aspects of swarm intelligence. It offers readers reports on advances in the understanding and utilization of systems that are based on the principles of swarm intelligence. Emphasis is given to such topics as the modeling and analysis of collective biological systems; application of biological swarm intelligence models to real-world problems; and theoretical and empirical research in ant colony optimization, particle swarm optimization, swarm robotics, and other swarm intelligence algorithms. Articles often combine experimental and theoretical work.

Introduction:To tackle complex real world problems, scientists have been looking into natural processes and creatures - both as model and metaphor - for years. Optimization is at the heart of many natural processes including Darwinian evolution, social group behavior and foraging strategies. Over the last few decades, there has been remarkable growth in the field of nature-inspired search and optimization algorithms. Currently these techniques are applied to a variety of problems, ranging from scientific research to industry and commerce. The two main families of algorithms that primarily constitute this field today are the evolutionary computing methods and the swarm intelligence algorithms. Although both families of algorithms are generally dedicated towards solving search and optimization problems, they are certainly not equivalent, and each has its own distinguishing features. Reinforcing each other's performance makes powerful hybrid algorithms capable of solving many intractable search and optimization problems.About the journal:Swarm and Evolutionary Computation is the first peer-reviewed publication of its kind that aims at reporting the most recent research and developments in the area of nature-inspired intelligent computation based on the principles of swarm and evolutionary algorithms. It publishes advanced, innovative and interdisciplinary research involving the theoretical, experimental and practical aspects of the two paradigms and their hybridizations. Swarm and Evolutionary Computation is committed to timely publication of very high-quality, peer-reviewed, original articles that advance the state-of-the art of all aspects of evolutionary computation and swarm intelligence. Survey papers reviewing the state-of-the-art of timely topics will also be welcomed as well as novel and interesting applications.Topics of Interest:Topics of interest include but are not limited to: Genetic Algorithms, and Genetic Programming, Evolution Strategies, and Evolutionary Programming, Differential Evolution, Artificial Immune Systems, Particle Swarms, Ant Colony, Bacterial Foraging, Artificial Bees, Fireflies Algorithm, Harmony Search, Artificial Life, Digital Organisms, Estimation of Distribution Algorithms, Stochastic Diffusion Search, Quantum Computing, Nano Computing, Membrane Computing, Human-centric Computing, Hybridization of Algorithms, Memetic Computing, Autonomic Computing, Self-organizing systems, Combinatorial, Discrete, Binary, Constrained, Multi-objective, Multi-modal, Dynamic, and Large-scale Optimization.Applications:Furthermore, the journal fosters industrial uptake by publishing interesting and novel applications in fields and industries dealing with challenging search and optimization problems from domains such as (but not limited to): Aerospace, Systems and Control, Robotics, Power Systems, Communication Engineering, Operations Research and Decision Sciences, Financial Services and Engineering, (Management) Information Systems, Business Intelligence, internet computing, Sensors, Image Processing, Computational Chemistry, Manufacturing, Structural and Mechanical Designs, Bioinformatics, Computational Biology, Mathematical and Computational Psychology, Cognitive Neuroscience, Brain-computer Interfacing, Future Computing Devices, Nonlinear statistical and Applied Physics, and Environmental Modeling and Software.

Systems Science & Control Engineering is a world-leading fully open access journal covering all areas of theoretical and applied systems science and control engineering.

The journal encourages the submission of original articles, reviews and short communications in areas including, but not limited to:

Proposals for special issues are encouraged, and should be discussed with the Executive Editor.

All submitted manuscripts are subject to initial appraisal by the Executive Editor, and, if found suitable for further consideration, to rigorous and rapid peer review by independent, anonymous expert referees. All peer review is double blind and submission is online via ScholarOne Manuscripts.

As part of the  Taylor & Francis Open Access programme authors receive immediate, universal access to articles; rapid online publication; flexible licensing options; high-quality production values; fair pricing and discounts and waivers for authors in low-income countries.

To support Open Access, accepted articles will be subject to an article publishing fee of $750 (GBP £470, EUR €625).

Queries regarding submissions can be made by contacting the Executive Editor, whose decision is final.

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he Chinese Journal of Artificial Intelligence is an international journal promoting a comprehensive view of the field of artificial intelligence development to solve real-life problems. Artificial intelligence (AI) is a new technical science that studies and develops theory, methods and application systems used to simulate and extend human intelligence. The research in this field includes computational intelligence, language recognition, image recognition, natural language processing, and expert systems. The rapidly published science journal focuses on the development of artificial intelligence methods in the world. Submitted papers should report some new aspects of the field of AI and also are validated using some public data sets for easy replicability of the research results

Topics in Cognitive Science (topiCS) is an innovative new journal that covers all areas of cognitive science including cognitive modeling, cognitive neuroscience, cognitive anthropology, and cognitive science and philosophy. topiCS aims to provide a forum for:.

The award-winning WIREs (Wiley Interdisciplinary Reviews) series combines some of the most powerful features of encyclopedic reference works and review journals in an innovative online format. They are designed to promote a cross-disciplinary research ethos while maintaining the highest scientific and presentational standards, but should be viewed first and foremost as evolving online databases of cutting-edge reviews.

• WIREs Data Mining and Knowledge Discovery
• An important new forum to promote cross-disciplinary discussion on the science and practical applications of DMKD
• An authoritative, encyclopedic resource addressing key topics from diverse research perspectives
• Free or low cost access in developing countries through Research4Life
• Indexed by TRSI (formerly ISI) and Scopus

For more information please go to wires.wiley.com/dmkd.

perception, senses and sensation, perceptual processes