Considered a subfield of computational intelligence focused on combinatorial optimisation problems, evolutionary computation is associated with systems that use computational models of evolutionary processes as the key elements in design and implementation, i.e. computational techniques which are based to some degree on the evolution of biological life in the natural world. A number of evolutionary computational models have been proposed, including evolutionary algorithms, genetic algorithms, the evolution strategy, evolutionary programming, swarm intelligence and artificial life.<br>This conference intends to be a major forum for scientists, engineers and practitioners interested in the study, analysis, design, modeling and implementation of evolvable systems, both theoretically and in a broad range of application fields. ECTA welcomes both theoretical research and practical applications.<br>The conference also aims to foster hybrid approaches within evolutionary computation and also involving fuzzy computation and neural computation.<br>Conference Topics<br>– Genetic Algorithms<br>– Machine Learning<br>– Cognitive Systems<br>– Artificial Life<br>– Representation techniques<br>– Software engineering issues; Metamodelling<br>– Evolutionary multiobjective optimization<br>– Game Theory and applications<br>– Evolution strategies<br>– Evolutionary robotics and intelligent agents<br>– Society and cultural aspects of evolution<br>– Concurrent co–operation<br>– Co–evolution and collective behavior<br>– Biocomputing and complex adaptive systems<br>– Bio–inspired hardware and networks<br>– Swarm/collective intelligence<br>– Evolutionary art and design<br>– Hybrid Systems<br>– Memetic Algorithms<br>
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ECTA
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Rome
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Italy
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