Quantum-Inspired Evolutionary Algorithm for Numerical Optimization
Since they were proposed as an optimization method, evolutionary algorithms (EA) have been used to solve problems in several research fields. This success is due, besides other things, to the fact that these algorithms do not require previous information
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Studies in Computational Intelligence, Volume 121 Editor-in-chief Prof. Janusz Kacprzyk Systems Research Institute Polish Academy of Sciences ul. Newelska 6 01-447 Warsaw Poland E-mail: [email protected] Further volumes of this series can be found on our homepage: springer.com Vol. 100. Anthony Brabazon and Michael O’Neill (Eds.) Natural Computing in Computational Finance, 2008 ISBN 978-3-540-77476-1 Vol. 101. Michael Granitzer, Mathias Lux and Marc Spaniol (Eds.) Multimedia Semantics - The Role of Metadata, 2008 ISBN 978-3-540-77472-3 Vol. 102. Carlos Cotta, Simeon Reich, Robert Schaefer and Antoni Ligeza (Eds.) Knowledge-Driven Computing, 2008 ISBN 978-3-540-77474-7 Vol. 103. Devendra K. Chaturvedi Soft Computing Techniques and its Applications in Electrical Engineering, 2008 ISBN 978-3-540-77480-8 Vol. 104. Maria Virvou and Lakhmi C. Jain (Eds.) Intelligent Interactive Systems in Knowledge-Based Environment, 2008 ISBN 978-3-540-77470-9 Vol. 105. Wolfgang Guenthner Enhancing Cognitive Assistance Systems with Inertial Measurement Units, 2008 ISBN 978-3-540-76996-5
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