Evolutionary Computing [electronic resource] : AISB Workshop Leeds, U.K., April 11–13, 1994 Selected Papers /

This volume is based on the Workshop on Evolutionary Computing held in Leeds, U.K. in April 1994 under the sponsorship of the Society for the Study of Artificial Intelligence and Simulation of Behaviour. In addition to the 22 best papers presented at the workshop, there are two invited contributions by Ray Paton and Colin Reever. The volume addresses several aspects of evolutionary computing, particularly genetic algorithms, and its applications, for example in search, robotics, signal processing, machine learning, and scheduling. The papers are organized in sections on theoretical and biological foundations, techniques, classifier systems, and applications.

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Bibliographic Details
Main Authors: Fogarty, Terence C. editor., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 1994
Subjects:Computer science., Computers., Algorithms., Artificial intelligence., Pattern recognition., Bioinformatics., Computational biology., Biomathematics., Computer Science., Artificial Intelligence (incl. Robotics)., Computation by Abstract Devices., Algorithm Analysis and Problem Complexity., Pattern Recognition., Computer Appl. in Life Sciences., Mathematical and Computational Biology.,
Online Access:http://dx.doi.org/10.1007/3-540-58483-8
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Summary:This volume is based on the Workshop on Evolutionary Computing held in Leeds, U.K. in April 1994 under the sponsorship of the Society for the Study of Artificial Intelligence and Simulation of Behaviour. In addition to the 22 best papers presented at the workshop, there are two invited contributions by Ray Paton and Colin Reever. The volume addresses several aspects of evolutionary computing, particularly genetic algorithms, and its applications, for example in search, robotics, signal processing, machine learning, and scheduling. The papers are organized in sections on theoretical and biological foundations, techniques, classifier systems, and applications.