Nature inspired cooperative strategies for optimization (NICSO 2007)

Biological and natural processes have been a continuous source of inspirationfor the sciences and engineering. For instance, the work of Wiener in cybernetics was influenced by feedback control processes observable in biological systems; McCulloch and Pitts description of the artificial neuron was instigated by biological observations of neural mechanisms; the idea of survival of the fittest inspired the field of evolutionary algorithms and similarly, artificialimmune systems, ant colony optimisation, automated self-assembling programming, membrane computing, etc. also have their roots in natural phenomena. The second International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO), was held in Acireale, Italy, during November 8-10, 2007. Theaim for NICSO 2007 was to provide a forum were the latest ideas and state of the art research related to cooperative strategies for problem solving arisingfrom Nature could be discussed. Presents latest results in nature inspired cooperative strategies for optimization INDICE: From the contents A Preliminary Study of Fitness Inheritance in Evolutionary Constrained Optimization.- Probabilistically Guided Prefix Gene Expression Programming.- Flocking-based Document Clustering on the Graphics Processing Unit.- Artificial Immune System For Collaborative Spam Filtering.- MP Systems and Hybrid Petri Nets.- Spatial Sorting of Binary Metadata Documents viaNature-Inspired Agents in Grids.- hCHAC-4, an ACO Algorithm for Solving the Four-Criteria Military Path-finding Problem.- Searching Ground States of Ising Spin Glasses with Genetic Algorithms and Binary Particle Swarm Optimization.- A Hybrid System of Nature Inspired Metaheuristics.

• ISBN: 978-3-540-78986-4
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 500
• Fecha Publicación: 01/05/2008
• Nº Volúmenes: 1
• Idioma: Inglés