Journal Guide

g the exchange of information among researchers involved in both the theoretical and practical aspects of computational systems drawing their inspiration from nature. Particular emphasis is placed on evolutionary models of computation such as genetic algorithms (GA), evolutionary strategies (ES), classifier systems (CS), evolutionary programming (EP), genetic programming (GP), and related fields such as swarm intelligence (Ant Colony Optimization and Particle Swarm Optimization), and other evolutionary computation techniques.

New Focus for our Journal The relationship between Ecology and Evolution is both intimate and fundamental, yet the field of Evolutionary Ecology is not a strong or obvious focus of research activity. Habitats and climate have been changing at various temporal and spatial scales since the origin of life. Although this variation can have a profound effect on both ecological and evolutionary processes, the interplay between ecology and evolution remains comparatively neglected. Most researchers in evolution are more concerned with the pattern of evolution (phylogeny) and its genetic and developmental correlates than with the ecological causes of evolution. Similarly, ecologists often ignore the evolutionary implications of population and community processes, at least partially because it is difficult enough working out ecological processes when one assumes (implicitly) that all individuals are identical over short time scales. These cartoons of ecology and evolution reflect a fundamental gap in both subject mat

Welcome! Evolutionary Ecology Researchis a professional scientific journal focusing on the overlap between ecology and evolution.

Evolutionary Intelligence is an international journal devoted to the publication and dissemination of theoretical and practical aspects of the use of population-based search for artificial intelligence. Techniques of interest include evolving rule-based systems, evolving artificial neural networks, evolving fuzzy systems, evolving Bayesian and statistical approaches, artificial immune systems, and hybrid systems which combine evolutionary computation with other A.I. techniques in general. The journal contains research papers, review articles, short notes and letters to the editor. Areas of interest include, but are not limited to, memory, vision, planning, knowledge representation and construction, robotics, neuroscience, language, development and learning, and all aspects of cognitive science. Papers describing applications in areas such as data mining, adaptive control, medical and bio-informatics, games and multi-media, agent-based computing and modelling, complex systems, and chemical and biological systems are also welcomed. The journal intends to capture and archive the advancement in the field of evolutionary intelligence in a timely manner and in one place.

In debates about scientific publishing over recent years it has been noted many times that the authors of articles for peer-reviewed journals write primarily for ‘research impact’. Unfortunately, established practices, which involve transferring copyright to journal publishers, often achieve precisely the opposite of impact. Many worthy papers appear in small-circulation journals where they languish unnoticed by all but a few who could profit from the ideas they contain. Many specialist journals have fewer than 1000 subscribers, and even very popular journals fewer than 5000. For those interested in evolutionary approaches to psychology and behavior the situation is particularly difficult in that our universities are divided into traditional disciplines that have little coherence when the questions under consideration concern fields as diverse as biology, philosophy, economics, neuroscience, history, and psychology. Our professional bodies also reflect arbitrary divisions of inquiry, with the added impediment that they are often concerned more with local (national) political and legal matters than with the dissemination of knowledge.Of course, since the advent of the Internet, and especially the world wide web, access to information has been transformed, but many of the old barriers remain in place. Although many newspapers make their content freely available, the cost of a journal article published online by a traditional publisher can be more than the price of a textbook, and some publishers do not allow access to individual papers without a full subscription to the print journal. Stevan Harnad notes that, There are currently at least 20,000 refereed journals across all fields of scholarship, publishing more than 2 million refereed articles each year. The amount collectively paid by those of the world’s institutions which can afford the tolls for just one of those refereed papers averages $2,000 per paper. In exchange for that fee, that particular paper is accessible to readers at those, and only those, paying institutions.The internet provides an international readership larger than even the largest circulation journals such as Nature, Science, Scientific American, and New Scientist. The journal has distinguished participants and readers in over 160 countries, and at most major universities and research institutes worldwide.As Evolutionary Psychology has a broad scope covering empirical, philosophical, historical, and socio-political perspectives it has a large and diverse editorial board composed of distinguished and enthusiastic individuals who wish to encourage appropriate submissions across all relevant fields, including original research papers, subject reviews, topic reviews, and book reviews. Each item is published as it is available, with appropriate links being posted to all of our groups and websites. Each item is published in PDF format. This allows articles to be cited as easily as a paper in a hardcopy journal, and also allows for dissemination of material via email to colleagues and interested parties worldwide. This mode of operation will afford authors unparalleled exposure and hence maximum research impact. Contributors are also be encouraged to deposit their work in appropriate eprint archives. To quote Steve Harnad again, Learned inquiry, always communal and cumulative, will not only be immeasurably better informed, new findings percolating through minds and media almost instantaneously, but it will also become incomparably more interactive.In his article ‘Is your journal really necessary?’ Declan Butler of Nature writes: The possibilities of sophisticated matching of personalized editorial selections across large swathes of the literature, and the need to lower barriers to access, should in themselves be sufficient to convince scientists tempted to create low-circulation print journals to consider web-only options. Arguments that electronic-only will hinder access of developing countries to science is nonsense. The reality is that a library in Kinshasa would be lucky if it could afford to subscribe to a handful of print journals; the web promises developing countries access to scientific information they could previously only have dreamed of. But the essential function of a journal is to serve a particular community. The next web revolution will be a plethora of next-generation communities linking papers, people and data. So next time you think about launching a print journal, unless you have sufficient readership to survive in a free competitive market, do your colleagues and science a favour by considering instead what your community needs, and launch the answer online. I predict that this change will occur in under five years; if I am wrong, I will eat my journal.We cordially invite you to join our international community of dedicated research scientists, scholars, and clinicians.

'Evolving Systems' covers surveys, methodological, and application-oriented papers in the emerging area of evolving systems. Evolving systems are inspired by the idea of system model evolution in a dynamically changing and evolving environment. They use inheritance and gradual change with the aim of life-long learning and adaptation, self-organization including system structure evolution in order to adapt to the (unknown and unpredictable) environment as structures for information representation with the ability to fully adapt their structure and adjust their parameters. 'Evolving Systems' solicits publications that address the problems of modelling, control, prediction, classification and data processing in non-stationary, unpredictable environments and describe new methods and approaches for design of systems able to fully adapt its structure rather than adjust its parameters based on a pre-trained and fixed structure. The journal is devoted to the topic of self-developing, self-organised, and evolving systems in its entirety - from systematic methods to case studies and real industrial applications. It covers all aspects of the methodology such as conventional systems, neuro-fuzzy systems, evolutionary systems, Bayesian systems, machine learning methods, clustering, and classification, but also looking at new paradigms and applications, including medicine, robotics, business, industrial automation, control systems, transportation, communications, environmental monitoring, biomedical systems, security, and electronic services. The common features for all submitted methods and systems are evolvability and knowledge discovery. The journal is encompassing contributions related to: 1) Methods of computational intelligence and mathematical modelling 2) Inspiration from Nature and , Biology, including Neuroscience, Bioinformatics and Molecular biology, Quantum physics 3) Applications in engineering, business, social sciences.