| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNISA990001465800203316 |
|
|
Titolo |
La cultura italiana negli anni '30-'45 : (omaggio ad Alfonso Gatto) : atti del Convegno : Salerno, 21-24 aprile 1980 |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Napoli : Edizioni scientifiche italiane, 1984 |
|
|
|
|
|
|
|
Descrizione fisica |
|
2 volumi (943 p.) ; 24 cm |
|
|
|
|
|
|
Collana |
|
Pubblicazioni dell'Università degli studi di Salerno , Sezione Atti, convegni, miscellanee ; 6 |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Letteratura italiana - 1930-1940 - Atti di congressi |
|
|
|
|
|
|
Collocazione |
|
VI.3.B. 523/1(Varie Coll. 620/6) |
XXX.A. Coll. 225/ 6.1(X 29 VIII 6/I) |
VI.3.B. 523/2a(Varie Coll. 620/6a) |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
|
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9910768470803321 |
|
|
Titolo |
Simulated Evolution and Learning : 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008, Proceedings / / edited by Xiaodong Li, Michael Kirley, Mengjie Zhang, Vic Ciesielski, Zbigniew Michalewicz, Tim Hendtlass, Kalyanmoy Deb, K. C. Tan, Jürgen Branke |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2008.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (XVI, 658 p.) |
|
|
|
|
|
|
Collana |
|
Theoretical Computer Science and General Issues, , 2512-2029 ; ; 5361 |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Computer programming |
Computer science |
Artificial intelligence |
Computer simulation |
User interfaces (Computer systems) |
Human-computer interaction |
Computer science - Mathematics |
Discrete mathematics |
Programming Techniques |
Theory of Computation |
Artificial Intelligence |
Computer Modelling |
User Interfaces and Human Computer Interaction |
Discrete Mathematics in Computer Science |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Bibliographic Level Mode of Issuance: Monograph |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and index. |
|
|
|
|
|
|
Nota di contenuto |
|
Evolutionary Learning -- Modelling Behaviour Cycles for Life-Long Learning in Motivated Agents -- Breaking the Synaptic Dogma: Evolving a Neuro-inspired Developmental Network -- A New Approach to Adapting Control Parameters in Differential Evolution Algorithm -- A Novel Genetic Algorithm with Orthogonal Prediction for Global |
|
|
|
|
|
|
|
|
|
Numerical Optimization -- Phylogeny Inference Using a Multi-objective Evolutionary Algorithm with Indirect Representation -- Evolved Look-Up Tables for Simulated DNA Controlled Robots -- Multi-objective Improvement of Software Using Co-evolution and Smart Seeding -- Policy Evolution with Grammatical Evolution -- A PSO Based Adaboost Approach to Object Detection -- Adaptive Non-uniform Distribution of Quantum Particles in mQSO -- Genetically Evolved Fuzzy Rule-Based Classifiers and Application to Automotive Classification -- Improving XCS Performance by Distribution -- Evolving an Ensemble of Neural Networks Using Artificial Immune Systems -- Improving the Performance and Scalability of Differential Evolution -- A Fuzzy-GA Decision Support System for Enhancing Postponement Strategies in Supply Chain Management -- Evolutionary Optimisation -- Solving the Delay-Constrained Capacitated Minimum Spanning Tree Problem Using a Dandelion-Encoded Evolutionary Algorithm -- Generalized Extremal Optimization for Solving Multiprocessor Task Scheduling Problem -- Improving NSGA-II Algorithm Based on Minimum Spanning Tree -- An Island Based Hybrid Evolutionary Algorithm for Optimization -- A Particle Swarm Optimization Based Algorithm for Fuzzy Bilevel Decision Making with Objective-Shared Followers -- Reference Point-Based Particle Swarm Optimization Using a Steady-State Approach -- Genetic Algorithm Based Methods for Identification of Health Risk Factors Aimed at Preventing Metabolic Syndrome -- Extremal Optimisation and Bin Packing -- Extremal Optimisation with a Penalty Approach for the Multidimensional Knapsack Problem -- A Generator for Multimodal Test Functions with Multiple Global Optima -- Choosing Leaders for Multi-objective PSO Algorithms Using Differential Evolution -- Comparison between Genetic Algorithm and Genetic Programming Performance for Photomosaic Generation -- Parameter Tuning of Real-Valued Crossover Operators for Statistics Preservation -- Hybrid Particle Swarm Optimization Based on Thermodynamic Mechanism -- Multiagent Evolutionary Algorithm for T-coloring Problem -- Non-photorealistic Rendering Using Genetic Programming -- Use of Local Ranking in Cellular Genetic Algorithms with Two Neighborhood Structures -- Information Theoretic Classification of Problems for Metaheuristics -- Task Decomposition for Optimization Problem Solving -- Discussion of Search Strategy for Multi-objective Genetic Algorithm with Consideration of Accuracy and Broadness of Pareto Optimal Solutions -- Discussion of Offspring Generation Method for Interactive Genetic Algorithms with Consideration of Multimodal Preference -- Solving Very Difficult Japanese Puzzles with a Hybrid Evolutionary-Logic Algorithm -- Joint Multicast Routing and Channel Assignment in Multiradio Multichannel Wireless Mesh Networks Using Simulated Annealing -- General Game Playing with Ants -- A Generalized Approach to Construct Benchmark Problems for Dynamic Optimization -- A Study on the Performance of Substitute Distance Based Approaches for Evolutionary Many Objective Optimization -- Performance Evaluation of an Adaptive Ant Colony Optimization Applied to Single Machine Scheduling -- Robust Optimization by ?-Ranking on High Dimensional Objective Spaces -- An Evolutionary Method for Natural Languageto SQL Translation -- Attributes of Dynamic Combinatorial Optimisation -- A Weighted Local Sharing Technique for Multimodal Optimisation -- Hybrid Learning -- Hybrid Genetic Programming for Optimal Approximation of High Order and Sparse Linear Systems -- Genetic Vector Quantizer Design on Reconfigurable Hardware -- Pattern Learning and Decision Making in a Photovoltaic System -- Using Numerical Simplification to Control Bloat in Genetic Programming -- Horn Query Learning with Multiple |
|
|
|
|
|
|
|
|
|
Refinement -- Evolving Digital Circuits in an Industry Standard Hardware Description Language -- Parameterised Indexed FOR-Loops in Genetic Programming and Regular Binary Pattern Strings -- Hierarchical Fuzzy Control for the Inverted Pendulum over the Set of Initial Conditions -- Genetic Programming for Feature Ranking in Classification Problems -- Time Series Prediction with Evolved, Composite Echo State Networks -- Adaptive Systems -- Genetic Synthesis of Software Architecture -- Dual Phase Evolution and Self-organisation in Networks -- Heterogeneous Payoffs and Social Diversity in the Spatial Prisoner’s Dilemma game -- Theoretical Issues in Evolutionary Computation -- Crossover Can Be Constructive When Computing Unique Input Output Sequences -- Real-World Applications of Evolutionary Computation Techniques -- Power Electronic Circuits Design: A Particle Swarm Optimization Approach -- Computational Intelligence in Radio Astronomy: Using Computational Intelligence Techniques to Tune Geodesy Models -- An Efficient Hybrid Algorithm for Optimization of Discrete Structures -- Evolutionary Multi-Objective Optimization for Biped Walking -- A Method for Assigning Men and Women with Good Affinity to Matchmaking Parties through Interactive Evolutionary Computation. |
|
|
|
|
|
|
Sommario/riassunto |
|
This volume constitutes the proceedings of the 7th International Conference on Simulated Evolution and Learning, SEAL 2008, held in Melbourne, Australia, during December 7-10, 2008. The 65 papers presented were carefully reviewed and selected from 140 submissions. The topics covered are evolutionary learning; evolutionary optimisation; hybrid learning; adaptive systems; theoretical issues in evolutionary computation; and real-world applications of evolutionary computation techniques. |
|
|
|
|
|
|
|
| |