Computational Intelligence and Intelligent Systems: 5th International Symposium, ISICA 2010, Wuhan, China, October 2010, Proceedings: 107 - Brossura

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ISBN 10: 3642163874 ISBN 13: 9783642163876

Casa editrice: Springer-Nature New York Inc, 2010

Riassunto

CCIS 107 is the second volume of the proceedings of the Fifth International Symposium on Intelligence Computation and Applications (ISICA 2010)held in Wuhan, China, October 22–24, 2010. Thirty-one papers among 267 submissions were selected and included in CCIS 107. This volume features the most up-to-date research in evolutionary design, evolutionary optimization, hybrid evolutionary algorithms, intelligent systems, particle swarm optimization, and predictive modeling. CCIS 107 is dedicated to the memory of Lishan Kang. ISICA conferences were one of the ?rst series of international conferences on computational - telligence that combined elements of learning, adaptation, evolution and fuzzy logic to create programs as alternative solutions to arti?cial intelligence. The idea for ISICA came about after Lishan Kang organized an international s- posium on evolutionarycomputation at Wuhan University in 2000. After he was invited to be the Director of the School of Computer Science, China University of Geosciences, he wondered whether he could establish such discussion forums on computational intelligence at China University of Geosciences. With support from his university, the School of Computer Science organizedthe ?rst ISICA in 2005, in which some of the leading ?gures from the scienti?c computing world were invited, including H. -P. Schwefel, Germany, M. Schoenauer, France, D. J. Evans, UK, T. Higuchi, Japan, Z. Michalewicz, Australia, and X. Yao, UK. The Second ISICA was jointly held in 2007 with the 7th International C- ference on Evolvable Systems: From Biology to Hardware (ICES 2007).

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Contenuti

Section I: Evolutionary Design.- A Concurrent-Hybrid Evolutionary Algorithm for Geometric Constraint Solving.- A New DEBP Algorithm and Its Application for Hematite Content Prediction.- Multi-resource Balanced Scheduling Optimization Based on Self-adaptive Genetic Algorithm.- Space-Time Variation Operator Set in Possibility Construction Space.- The Comparison and Analysis of GP, GEP and GEP_EDA in Modeling System.- Section II: Evolutionary Optimization.- A Multi-objective Optimization Evolutionary Algorithm with Better Performances on Multiple Indicators.- A New Evolutionary Algorithms for Global Numerical Optimization Based on Ito Process.- A New Multi-objective Optimization Evolutionary Algorithm Based on Geometrical Pareto Selection and Double Neighbored Crossover.- Measurements in Fast Evolutionary Programming.- Merging the Ranking and Selection into ITO Algorithm for Simulation Optimization.- Ranking Based Selection Genetic Algorithm for Capacity Flow Assignments.- Section III: Hybrid Algorithms.- An Efficient Genetic Algorithm for the Traveling Salesman Problem.- Constructing a Novel QoS Aggregated Model Based on KBPP.- Exploring the Effects of Lamarckian Evolution and Baldwin Effect in Differential Evolution.- Research of Spatial Data Interpolation Algorithm Based on SVR Optimization by GA.- Section IV: Intelligent Systems.- 3-D Numerical Finite Element Method of Tectonic Stress Field Simulation Based on Irregular Corner-Point Grid.- Agent-Based System Dynamic Integration Development Platform and Tools.- An Analysis of Asymmetrical Threshold Polling Systems.- Diffusion Research of Leaked Coal Gas in Steel Plants under Natural Ventilation Conditions.- Spatio-temporal Simulation of Epidemiological SIQR Model Based on the Multi-Agent System with Focus on Influenza A (H1N1).- The Research of Virtual Organization for Intelligent Sharing Based on Open Grid Service Architecture.- Section V: Particle Swarm Optimization.- A Comparative Study of Artificial Bee Colony, Bees Algorithms and Differential Evolution on Numerical Benchmark Problems.- A Self-adaptive Immune PSO Algorithm for Constrained Optimization Problems.- Crowding-Distance-Based Multi-objective Particle Swarm Optimization.- GA-ACO in Job-Shop Schedule Problem Research.- Research on Hybrid Improved PSO Algorithm.- Section VI: Predictive Modeling.- Combined with Improved Vicent Watershed and Dynamic Particle Clustering with Connected Constraints for Image Segmentation.- Feature Synthesis Algorithm Combined with k-NN Classifier for Spectral Data Classification.- Fuzzy Pattern Recognition Based on Generalized Euclidean Weight Distance Adjoined Degree and Its Application in Forecasting Hazard of Karst Collapse.- Improved Apriori Algorithm for Mining Association Rules of Many Diseases.- Improved Text Classification Technique to Acquire Job Opportunities for Disabled Persons.

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Dettagli dell?edizione

• Editore: Springer-Nature New York Inc
• Data di pubblicazione: 2010
• ISBN 10: 3642163874
• ISBN 13: 9783642163876
• Rilegatura: Copertina flessibile
• Lingua: Inglese
• Numero di pagine: 287
• Redattore: Cai Zhihua, Tong Hengjian, Kang Zhuo, Liu Yong