Nature Inspired Cooperative Strategies for Optimization (NICSO 2010)
Información General
- Autores: Juan R. González (coord.), David Alejandro Pelta Mochcovsky (coord.)
, Carlos Cruz (coord.), Germán Terrazas (coord.), Natalio Krasnogor (coord.) - Editores: Springer Berlin, Heidelberg
- Año de publicación: 2010
- País: Alemania
- Idioma: inglés
- ISBN: 978-3-642-12537-9, 978-3-642-12538-6
- Recoge los contenidos presentados a: International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO) (4. 2010. Granada).
- Enlaces
Resumen
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
Otros catálogos
Listado de artículos
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A Metabolic Subsumption Architecture for CooperativeControl of the e-Puck
Verena Fischer, Simon Hickinbotham
págs. 1-12
Social Target Localization in a Population of Foragers
Héctor F. Satizábal M, Andres Upegui, Andres Perez Uribe
págs. 13-24
Using Knowledge Discovery in CooperativeStrategies: Two Case Studies
Antonio David Masegosa Arredondo
, E. E. Muñoz, David Alejandro Pelta Mochcovsky , José Manuel Cadenas Figueredo págs. 25-38
Hybrid Cooperation Models for the ToolSwitching Problem
Jhon Edgar Amaya, Carlos Cotta Porras
, Antonio José Fernández Leiva págs. 39-52
Fault Diagnosis in Industrial Systems Using Bioinspired Cooperative Strategies
Lídice Camps Echevarría, Orestes Llanes Santiago
, Antônio José da Silva Netopágs. 53-64
págs. 65-74
págs. 75-87
Discovering Beneficial Cooperative Structuresfor the Automated Construction of Heuristics
German Terrazas Angulo
, Jesús Dario Landa Silva , Natalio Krasnogor págs. 89-100
Eagle Strategy Using Lévy Walk and Firefly Algorithms for Stochastic Optimization
Xin-She Yang, Suash Deb
págs. 101-112
CO^2RBFN for Short and Medium Term Forecasting of the Extra-Virgin Olive Oil Price
M. D. Perez, Pedro Pérez Recuerda, María del Pilar Frías Bustamante
, A.J. Rivera, C.J. Carmona, Manuel Parraspágs. 113-126
3D Cell Pattern Generation in Artificial Development
Arturo Chavoya, Irma R. Andalon Garcia, Cuauhtémoc López Martín, Maria E. Meda Campaña
págs. 127-140
Partial Imitation Rule in Iterated Prisoner Dilemma Game on a Square Lattice
Degang Fu, Mathis Antony, Kwok Yip Szeto
págs. 141-150
págs. 151-162
Studying the Influence of the Objective Balancing Parameter in the Performance of a Multi-Objective Ant Colony OptimizationAlgorithm
A.M. Mora, Juan Julián Merelo Guervós
, P. A. Castillo de Castro, J.L.J. Laredo, P. García Sánchez, M.G. Arenaspágs. 163-176
págs. 177-184
Adaptive Evolutionary Testing: An Adaptive Approach to Search-Based Test Case Generation for Object-Oriented Software
José Carlos Bregieiro Ribeiro, Mário Alberto Zenha-Rela
, Francisco Fernández de Vega págs. 185-198
Evolutionary Algorithms for Planar MEMS Design Optimisation: A Comparative Study
Elhadj Benkhelifa, Michael Farnsworth, Ashutosh Tiwari, MeiLing Zhou
págs. 199-210
A Distributed Service Oriented Framework for Metaheuristics Using a Public Standard
P. García Sánchez, J. González, P. A. Castillo de Castro, Juan Julián Merelo Guervós
, M. A. Mora H., J.L.J. Laredo, M.G. Arenaspágs. 211-222
págs. 223-232
Evolutionary Approaches to Joint Nash – Pareto Equilibria
Doina Alexandra Dumitrescu, Rodica Ioana Lung, Tudor Dan Mihoc
págs. 233-243
Accelerated Genetic Algorithms with Markov Chains
Guan Wang, Chen Chen, Kwok Yip Szeto
págs. 245-254
Adapting Heuristic Mastermind Strategies to Evolutionary Algorithms
Thomas Philip Runarsson, Juan Julián Merelo Guervós
págs. 255-267
Structural versus Evaluation Based Solutions Similarity in Genetic Programming Based System Identification
Stephan M. Winkler
págs. 269-282
Artificial Bee Colony Optimization: A New Selection Scheme and Its Performance
Andrej Aderhold, Konrad Diwold
, Alexander Scheidler, Martin Middendorfpágs. 283-294
A Heuristic-Based Bee Colony Algorithm for the Multiprocessor Scheduling Problem
Pascal Rebreyend, Cedric Clugery, Emmanuel Hily
págs. 295-304
A Bumble Bees Mating Optimization Algorithmfor Global Unconstrained Optimization Problems
Yannis Marinakis, Magdalene Marinaki, Nikolaos Matsatsinis
págs. 305-318
A Neural-Endocrine Architecture for Foraging in Swarm Robotic Systems
Jon Timmis, Lachlan Murray, Mark Weal
págs. 319-330
Using Entropy for Evaluating Swarm Intelligence Algorithms
Gianluigi Folino, Agostino Forestiero
págs. 331-343
Empirical Study of Performance of Particle Swarm Optimization Algorithms Using Grid Computing
Miguel Cárdenas Montes
, Miguel Ángel Vega Rodríguez , Antonio Gómez Iglesias, Enrique Morales Ramospágs. 345-357
Using PSO and RST to Predict the Resistant Capacity of Connections in Composite Structures
Yaima Filiberto, Rafael Bello, Yailé Caballero Mota, Rafael Larrúa Quevedo
págs. 359-370
Improvement Strategies for Multi-swarm PSO in Dynamic Environments
Pavel Novoa Hernandez, David Alejandro Pelta Mochcovsky
, Carlos Alberto Cruz Corona págs. 371-383
Particle Swarm Optimization Based Tuning of Genetic Programming Evolved Classifier Expressions
Hajira Jabeen, Abdul Rauf
págs. 385-397
