Journal Guide
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Evolutionary Computation
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.
Evolutionary Intelligence
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.