000 04704nam a22004815i 4500
001 978-3-642-10675-0
003 DE-He213
005 20140220084529.0
007 cr nn 008mamaa
008 100301s2010 gw | s |||| 0|eng d
020 _a9783642106750
_9978-3-642-10675-0
024 7 _a10.1007/978-3-642-10675-0
_2doi
050 4 _aTA329-348
050 4 _aTA640-643
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
100 1 _aVega, Francisco Fernández.
_eeditor.
245 1 0 _aParallel and Distributed Computational Intelligence
_h[electronic resource] /
_cedited by Francisco Fernández Vega, Erick Cantú-Paz.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
300 _bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v269
505 0 _aWhen Huge Is Routine: Scaling Genetic Algorithms and Estimation of Distribution Algorithms via Data-Intensive Computing -- Evolvable Agents: A Framework for Peer-to-Peer Evolutionary Algorithms -- Evolutionary Algorithms on Volunteer Computing Platforms: The MilkyWay@Home Project -- Self-coordinated On-Chip Parallel Computing: A Swarm Intelligence Approach -- Large Scale Bioinformatics Data Mining with Parallel Genetic Programming on Graphics Processing Units -- A Review on Parallel Estimation of Distribution Algorithms -- Parallel Multi-objective Optimization Using Self-organized Heterogeneous Resources -- The Role of Explicit Niching and Communication Messages in Distributed Evolutionary Multi-objective Optimization -- Adaptive Scheduling Algorithms for the Dynamic Distribution and Parallel Execution of Spatial Agent-Based Models -- On the Use of Distributed Genetic Algorithms for the Tuning of Fuzzy Rule Based-Systems -- Parallel and Distributed Optimization of Dynamic Data Structures for Multimedia Embedded Systems -- A Grid-Based Hybrid Hierarchical Genetic Algorithm for Protein Structure Prediction -- Laser Dynamics Modelling and Simulation: An Application of Dynamic Load Balancing of Parallel Cellular Automata.
520 _aThe growing success of biologically inspired algorithms in solving large and complex problems has spawned many interesting areas of research. Over the years, one of the mainstays in bio-inspired research has been the exploitation of parallel and distributed environments to speedup computations and to enrich the algorithms. From the early days of research on bio-inspired algorithms, their inherently parallel nature was recognized and different parallelization approaches have been explored. Parallel algorithms promise reductions in execution time and open the door to solve increasingly larger problems. But parallel platforms also inspire new bio-inspired parallel algorithms that, while similar to their sequential counterparts, explore search spaces differently and offer improvements in solution quality. The objective in editing this book was to assemble a sample of the best work in parallel and distributed biologically inspired algorithms. The editors invited researchers in different domains to submit their work. They aimed to include diverse topics to appeal to a wide audience. Some of the chapters summarize work that has been ongoing for several years, while others describe more recent exploratory work. Collectively, these works offer a global snapshot of the most recent efforts of bioinspired algorithms’ researchers aiming at profiting from parallel and distributed computer architectures—including GPUs, Clusters, Grids, volunteer computing and p2p networks as well as multi-core processors. This volume will be of value to a wide set of readers, including, but not limited to specialists in Bioinspired Algorithms, Parallel and Distributed Computing, as well as computer science students trying to figure out new paths towards the future of computational intelligence.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aEngineering mathematics.
650 1 4 _aEngineering.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aCantú-Paz, Erick.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642106743
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v269
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-10675-0
912 _aZDB-2-ENG
999 _c111766
_d111766