TY  - BOOK
AU  - Fernández de Vega,Francisco
AU  - Hidalgo Pérez,José Ignacio
AU  - Lanchares,Juan
ED  - SpringerLink (Online service)
TI  - Parallel Architectures and Bioinspired Algorithms
T2  - Studies in Computational Intelligence,
SN  - 9783642287893
AV  - Q342 
U1  - 006.3 23
PY  - 2012///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Engineering
KW  - Artificial intelligence
KW  - Computational Intelligence
KW  - Artificial Intelligence (incl. Robotics)
N1  - Creating and Debugging Performance CUDA C -- Optimizing Shape Design with Distributed Parallel Genetic Programming on GPUs -- Characterizing Fault-tolerance in Genetic Algorithms and programming -- Comparison of Frameworks for Parallel Multiobjective Evolutionary Optimization in Dynamic Problems -- An Empirical Study of Parallel and Distributed Particle Swarm Optimization -- The generalized Island Model -- Genetic Programming for the Evolution of Associative Memories -- Parallel Architectures for Improving the Performance of a GA based trading System -- A Knowledge-Based Operator for a Genetic Algorithm which Optimizes the Distribution of Sparse Matrix Data -- Evolutive approaches for Variable Selection using a Non-parametric Noise Estimator -- A chemical evolutionary mechanism for instantiating service-based applications
N2  - This monograph presents examples of best practices when combining bioinspired algorithms with parallel architectures. The book includes recent work by leading researchers in the field and offers a map with the main paths already explored and new ways towards the future. Parallel Architectures and Bioinspired Algorithms will be of value to both specialists in Bioinspired Algorithms, Parallel and Distributed Computing, as well as computer science students trying to understand the present and the future of Parallel Architectures and Bioinspired Algorithms
UR  - http://dx.doi.org/10.1007/978-3-642-28789-3
ER  -