Descripción del título
Nature Inspired Cooperative...
Many aspects of Nature, Biology or even from Society have become part of the techniques and algorithms used in computer science or they have been used to enhance or hybridize several techniques through the inclusion of advanced evolution, cooperation or biologically based additions. The previous NICSO workshops were held in Granada, Spain, 2006, Acireale, Italy, 2007, and in Tenerife, Spain, 2008. As in the previous editions, NICSO 2010, held in Granada, Spain, was conceived as a forum for the latest ideas and the state of the art research related to nature inspired cooperative strategies. The contributions collected in this book cover topics including nature-inspired techniques like Genetic Algorithms, Evolutionary Algorithms, Ant and Bee Colonies, Swarm Intelligence approaches, Neural Networks, several Cooperation Models, Structures and Strategies, Agents Models, Social Interactions, as well as new algorithms based on the behaviour of fireflies or bats
Monografía
monografia Rebiun11669091 https://catalogo.rebiun.org/rebiun/record/Rebiun11669091 cr nn 008mamaa 100416s2010 gw | s |||| 0|eng d 9783642125386 10.1007/978-3-642-12538-6 doi UPNA0269568 UMO 111063 UPCT u359362 UR0325913 UPVA 996880122003706 UAM 991007780669604211 UPM 991005575507904212 CBUC 991010401429406709 CBUC 991004879208806711 UCAR 991007918455104213 CBUC 991010401429406709 UYQ bicssc COM004000 bisacsh 006.3 23 González, Juan R. Nature Inspired Cooperative Strategies for Optimization (NICSO 2010) Recurso electrónico-En línea] edited by Juan R. González, David Alejandro Pelta, Carlos Cruz, Germán Terrazas, Natalio Krasnogor Berlin, Heidelberg Springer Berlin Heidelberg 2010 Berlin, Heidelberg Berlin, Heidelberg Springer Berlin Heidelberg 420p. 118 illus. digital 420p. 118 illus. Studies in Computational Intelligence 1860-949X 284 Engineering (Springer-11647) From the Contents: A metabolic subsumption architecture for cooperative control of the e-puck -- Social Target Localization in a Population of Foragers -- Using knowledge discovery in cooperative strategies: two case studies -- Hybrid cooperation models for the Tool Switching Problem -- Fault diagnosis in industrial systems using bioinspired cooperative Strategies -- A New Metaheuristic Bat-Inspired Algorithm -- Evaluation of a Catalytic Search Algorithm -- Discovering Beneficial Cooperative Structures for the Automated Construction of Heuristics -- Eagle Strategy Using Lévy Walk and Firefly Algorithms For Stochastic Optimization -- CO2RBFN for short and medium term forecasting of the extra-virgin olive oil Price -- 3D Cell Pattern Generation in Artificial Development -- Partial Imitation Rule in Iterated Prisoner Dilemma Game on a Square Lattice -- A Dynamical Game Model for Sustainable Development -- Studying the Influence of the Objective Balancing Parameter in the Performance of a Multi-Objective Ant Colony Optimization Algorithm -- HC12: Highly Scalable Optimisation Algorithm -- Adaptive Evolutionary Testing: an Adaptive Approach to Search-Based Test Case Generation for Object-Oriented Software -- Evolutionary Algorithms for Planar MEMS Design Optimisation: A Comparative Study -- A distributed service oriented framework for metaheuristics using a public standard -- Cellular Genetic Algorithm on Graphic Processing Units -- Evolutionary Approaches to Joint Nash \2013 Pareto equilibria -- Accelerated genetic algorithms with Markov Chains Accesible sólo para usuarios de la UPV Recurso a texto completo Many aspects of Nature, Biology or even from Society have become part of the techniques and algorithms used in computer science or they have been used to enhance or hybridize several techniques through the inclusion of advanced evolution, cooperation or biologically based additions. The previous NICSO workshops were held in Granada, Spain, 2006, Acireale, Italy, 2007, and in Tenerife, Spain, 2008. As in the previous editions, NICSO 2010, held in Granada, Spain, was conceived as a forum for the latest ideas and the state of the art research related to nature inspired cooperative strategies. The contributions collected in this book cover topics including nature-inspired techniques like Genetic Algorithms, Evolutionary Algorithms, Ant and Bee Colonies, Swarm Intelligence approaches, Neural Networks, several Cooperation Models, Structures and Strategies, Agents Models, Social Interactions, as well as new algorithms based on the behaviour of fireflies or bats Reproducción electrónica Forma de acceso: Web Engineering Artificial intelligence Mathematics Engineering Computational Intelligence Artificial Intelligence (incl. Robotics) Applications of Mathematics Pelta, David A. Cruz, Carlos Terrazas, Germán Krasnogor, Natalio SpringerLink (Servicio en línea) Springer eBooks Springer eBooks Printed edition 9783642125379 Studies in Computational Intelligence 1860-949X 284