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Advances in Computation and Intelligence: 5th International Symposium, ISICA 2010, Wuhan, China, October 22-24, 2010, Proceedings de Zhihua Cai

Advances in Computation and Intelligence: 5th International Symposium, ISICA 2010, Wuhan, China, October 22-24, 2010, Proceedings: Lecture Notes in Computer Science, cartea 6382

Editat de Zhihua Cai, Chengyu Hu, Zhuo Kang, Yong Liu
en Limba Engleză Paperback – 6 oct 2010

Analizând implementarea unei scheme de control al topologiei tolerante la erori în rețele de senzori fără fir prin PSO discret, volumul Advances in Computation and Intelligence demonstrează rapid utilitatea practică a inteligenței computaționale. Această lucrare nu este doar o colecție teoretică, ci un registru tehnic al soluțiilor de optimizare aplicate în inginerie și informatică. Considerăm că forța acestui volum rezidă în rigoarea selecției: doar 53 de lucrări din cele 267 propuse la ISICA 2010 au fost incluse, asigurând un standard înalt de relevanță științifică.

Ca și Ying Tan în Advances in Swarm Intelligence, Part I, editorii Zhihua Cai și Chengyu Hu distilează experiența reală din teren în principii acționabile pentru optimizarea sistemelor complexe. Totuși, volumul de față se distinge printr-o acoperire mai largă a algoritmilor evolutivi, mergând dincolo de comportamentul de roi către evoluția diferențială și sisteme multi-agent. Structura este organizată riguros pe secțiuni tematice: prima parte se concentrează pe optimizarea prin colonii de furnici și roiuri de particule, în timp ce a doua secțiune explorează variante noi de algoritmi de evoluție diferențială, inclusiv metode de interpolare pentru regresia cu vectori suport.

Progresia conținutului indică o trecere logică de la optimizarea fundamentală la designul de sistem și învățarea statistică. Recomandăm acest volum din seria Lecture Notes in Computer Science pentru detaliile tehnice privind evoluția parametrilor și analiza diversității în algoritmi, elemente esențiale pentru cercetătorii care dezvoltă soluții alternative la inteligența artificială tradițională prin logică fuzzy și adaptare.

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Specificații

ISBN-13: 9783642164927
ISBN-10: 3642164927
Pagini: 552
Ilustrații: XV, 536 p. 227 illus.
Dimensiuni: 12 x 91 x 30 mm
Greutate: 0.82 kg
Ediția:2010
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Professional/practitioner

De ce să citești această carte

Recomandăm acest volum profesioniștilor care caută implementări specifice de algoritmi de optimizare în rețele de senzori și sisteme de date complexe. Cititorul câștigă acces la metodologii verificate de selecție a caracteristicilor și control al sistemelor, fiind un instrument de referință pentru inginerii care doresc să aplice inteligența computațională în probleme reale de design și clasificare a datelor.

Cuprins

Section I: Ant Colony and Particle Swarm Optimization.- A Discrete PSO-Based Fault-Tolerant Topology Control Scheme in Wireless Sensor Networks.- Retracted: Feature Selection Using Ant Colony Optimization for Text-Independent Speaker Verification System.- GPS Height Fitting Using Gene Expression Programming.- Parameter Evolution for a Particle Swarm Optimization Algorithm.- The Ant Colony Optimization Algorithm for Multiobjective Optimization Non-compensation Model Problem Staff Selection.- Section II: Differential Evolution.- A New Self-adaption Differential Evolution Algorithm Based Component Model.- A Novel Interpolation Method Based on Differential Evolution-Simplex Algorithm Optimized Parameters for Support Vector Regression.- A Variant of Differential Evolution Based on Permutation Regulation Mechanism.- Differential Evolution Based Band Selection in Hyperspectral Data Classification.- Diversity Analysis of Opposition-Based Differential Evolution—An Experimental Study.- Hybrid Differential Evolution Algorithm with Chaos and Generalized Opposition-Based Learning.- Self-adapting Differential Evolution Algorithm with Chaos Random for Global Numerical Optimization.- Section III: Distributed Computing.- A Concurrent-Hybrid Evolutionary Algorithms with Multi-child Differential Evolution and Guotao Algorithm Based on Cultural Algorithm Framework.- A Hierarchical Distributed Evolutionary Algorithm to TSP.- A New Distributed Node Localization Scheme Using a Mobile Beacon.- A Novel Multi-Population Genetic Algorithm for Multiple-Choice Multidimensional Knapsack Problems.- Comparative Analysis for k-Means Algorithms in Network Community Detection.- Framework for Distributed Evolutionary Algorithms in Computational Grids.- Section IV: Genetic Algorithms.- A Review ofTournament Selection in Genetic Programming.- Genetic Algorithm for Mixed Chinese Postman Problem.- Hybrid Evolutionary Algorithms Design Based on Their Advantages.- Hybridized Optimization Genetic Algorithm for QOS-Based Multicast Routing Problem.- Retroviral Iterative Genetic Algorithm for Real Parameter Function Optimization Problems.- The RM-MEDA Based on Elitist Strategy.- Section V: Multi-agent Systems.- A Proactive Perception Model in Agent-Based Software Integration and Evolution.- Algorithmic Trading Strategy Optimization Based on Mutual Information Entropy Based Clustering.- An Improved Similarity Algorithm Based on Hesitation Degree for User-Based Collaborative Filtering.- Intrusion Detection System Based on Support Vector Machine Active Learning and Data Fusion.- Long-Distant Pipeline Emergency Command Decision-Making System Based on Agent.- Sales Forecasting Based on ERP System through BP Neural Networks.- Section VI: Multi-objective and Dynamic Optimization.- Capacity Allocation Policy of Third Party Warehousing with Dynamic Optimization.- Dynamical Multi-objective Optimization Using Evolutionary Algorithm for Engineering.- Faster Convergence and Higher Hypervolume for Multi-objective Evolutionary Algorithms by Orthogonal and Uniform Design.- Multi-objective Fuzzy Clustering Method for Image Segmentation Based on Variable-Length Intelligent Optimization Algorithm.- Perspectives in Dynamic Optimization Evolutionary Algorithm.- Section VII: Robot Intelligence.- A Real Time Vision-Based Hand Gestures Recognition System.- A Virtual Robot Arm Model with Force Feedback and Contact States Identification.- Improving Reading Comprehension Using Knowledge Model.- Modular Robot Path Planning Using Genetic Algorithm Based on Gene Pool.- Pathfinder Based on SimulatedAnnealing for Solving Placement and Routing Problem.- Section VIII: Statistical Learning.- Application of Data Mining in Multi-Geological-Factor Analysis.- Applying an Artificial Neural Network to Building Reconstruction.- Fast Dimension Reduction Based on NMF.- Frequent Words’ Grammar Information in Chinese Chunking.- Multilabel Classification Using Error Correction Codes.- Test-Cost Sensitive Classification Using Greedy Algorithm on Training Data.- Section IX: System Design.- 3-D Magnetotelluric Adaptive Finite-Element Modeling.- A Study on Modeling Evolutionary Antenna Based on ST-5 Antenna and NEC2.- A Synthesis of Four-Branch Microwave Antenna by Evolution Algorithm and Orthogonal Experiment.- Band Structures of Multilayer Films with Randomness.- Fast Principal Component Analysis Based on Hardware Architecture of Generalized Hebbian Algorithm.- The Data-Based Mathematical Modeling and Parameter Identification in JAK-STAT Signaling Pathway by Using a Hybrid Evolutionary Algorithm.- The Research on the Intelligent Interpreter for ISO 14649 Programs.- Erratum.- Erratum: Feature Selection Using Ant Colony Optimization for Text-Independent Speaker Verification System.

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Descriere

LNCS 6382 is the ?rst volume of the proceedings of the Fifth International Symposium on Intelligence Computation and Applications (ISICA 2010)held in Wuhan, China, October 22-24, 2010. Fifty-three papers among 267 submissions were selected and included in LNCS 6382. The symposium featured the most up-to-date research in ant colony and particle swarm optimization, di'erential evolution, distributed computing, - netic algorithms, multi-agent systems, multi-objective and dynamic optimi- tion, robot intelligence, statistical learning, and system design. LNCS 6382 is dedicated to the memory of Lishan Kang. ISICA conferences were one of the ?rst series of international conferences on computational intel- gence that combine 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 on international symposium on evolutionary computation at Wuhan University in 2000. After he was - vited 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.