Computational Intelligence -

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Résumé :
The present book includes a set of selected extended papers from the second International Joint Conference on Computational Intelligence (IJCCI 2010), held in Valencia, Spain, from 24 to 26 October 2010. The conference was composed by three co-located conferences:? The International Conference on Fuzzy Computation (ICFC), the International Conference on Evolutionary Computation (ICEC), and the International Conference on Neural Computation (ICNC). Recent progresses in scientific developments and applications in these three areas are reported in this book. IJCCI received 236 submissions, from 49 countries, in all continents. After a double blind paper review performed by the Program Committee, only 30 submissions were accepted as full papers and thus selected for oral presentation, leading to a full paper acceptance ratio of 13%. Additional papers were accepted as short papers and posters. A further selection was made after the Conference, based also on the assessment of presentation quality and audience interest, so that this book includes the extended and revised versions of the very best papers of IJCCI 2010. Commitment to high quality standards is a major concern of IJCCI that will be maintained in the next editions, considering not only the stringent paper acceptance ratios but also the quality of the program committee, keynote lectures, participation level and logistics.

Sommaire:
From the content: Incremental Kernel Fuzzy c-Means.- Ant Algorithm for Optimal Sensor Deployment.- Countering Evolutionary Forgetting in No-Limit Texas Hold'em Poker Agents.- Model Regularization in Coevolutionary Architectures Evolving Straight Line Code.- Evolution of Collective Perception in a Group of Autonomous Robots.- Solving SONET Problems using a Hybrid Scatter Search Algorithm.- Investigating a Measure of the Recombinational Distance Traversed by the Genetic Algorithm.- Enhancing the Adaptive Dissortative Mating Genetic Algorithm in Fast Non-stationary Fitness Functions.- A Receding Horizon Genetic Algorithm for Dynamic Resource Allocation: A Case Study on Optimal Positioning of Tugs.- Generating Optimized Fuzzy Partitions to Classification and Considerations to Management Imprecise Data.