Prof. Shigeyoshi Tsutsui received his B.Eng. and M.Eng. in electrical engineering in 1967 and 1969 respectively from Osaka City University, and he received his Ph.D. in 1985 from Osaka Prefecture University. From 1969 to 1986 he worked in Hitachi”s Central Research Laboratories and Systems Development Laboratories. He joined the staff of Hannan University in 1987, where he is currently a full professor. His reseach interests include computer architectures, information and business science, artificial intelligence, and evolutionary computing, in particular applying genetic algorithms to difficult, multimodal problems.
Prof. Pierre Collet received his master”s degree in operating systems from Université de Paris VI in 1990, and his Ph.D. from Université Paris-Sud (Orsay) in 1997, on the topic of computer-aided surgery through virtual reality. From 2000 to 2003 he was a researcher in the Artificial Evolution and Learning team of the Center of Applied Mathematics (CMAP) of École Polytechnique. He joined the Université du Littoral Côte d”Opale in Calais in 2003 as an assistant professor, and defended his habilitation thesis in 2004. In 2007 he became a full professor in the Image Sciences, Computer Sciences and Remote Sensing Laboratory (LSIIT) in Strasbourg, where he led the Theoretical Bionformatics, Data Mining and Stochastic Optimization (BFO) team until December 2012. Since 2011, he has been the head of the Dept. of Computer Science of the Université de Strasbourg, and since 2013 he has led the Strasbourg Complex Systems Digital Campus. His research concentrates on the optimization of complex problems using evolutionary computing, nature-inspired stochastic algorithms, and complex systems, and in particular their implementation on massively parallel hardware, with applications in collaborative work, cellular automata, biomedical devices, chemistry, control, and e-learning.
4 Ebooki wg Shigeyoshi Tsutsui
Shigeyoshi Tsutsui & Pierre Collet: Massively Parallel Evolutionary Computation on GPGPUs
Evolutionary algorithms (EAs) are metaheuristics that learn from natural collective behavior and are applied to solve optimization problems in domains such as scheduling, engineering, bioinformatics, …
PDF
Angielski
€53.49
Ashish Ghosh & Shigeyoshi Tsutsui: Advances in Evolutionary Computing
The term evolutionary computing refers to the study of the foundations and applications of certain heuristic techniques based on the principles of natural evolution; thus the aim of designing evoluti …
PDF
Angielski
DRM
€165.71
U. Halici & I. Hayashi: Intelligent Biometric Techniques in Fingerprint and Face Recognition
The tremendous world-wide interest in intelligent biometric techniques in fingerprint and face recognition is fueled by the myriad of potential applications, including banking and security systems, a …
EPUB
Angielski
DRM
€283.13
U. Halici & I. Hayashi: Intelligent Biometric Techniques in Fingerprint and Face Recognition
The tremendous world-wide interest in intelligent biometric techniques in fingerprint and face recognition is fueled by the myriad of potential applications, including banking and security systems, a …
PDF
Angielski
DRM
€281.82