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New developments in evolutionary computation research /
A common approach for solving simulation-driven engineering problems is by using metamodel-assisted optimization algorithms, namely, in which a metamodel approximates the computationally expensive simulation and provides predicted values at a lower computational cost. Such algorithms typically gener...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hauppauge, New York :
Nova Science Publisher's Inc.,
[2014]
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| Colección: | Computer science, technology and applications.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- NEW DEVELOPMENTS IN EVOLUTIONARY COMPUTATION RESEARCH; NEW DEVELOPMENTS IN EVOLUTIONARY COMPUTATION RESEARCH; LIBRARY OF CONGRESS CATALOGING-IN-PUBLICATION DATA; CONTENTS; PREFACE; Chapter 1: MULTI-OBJECTIVE OPTIMIZATIONOF TRADING STRATEGIES USING GENETICALGORITHMS IN UNSTABLE ENVIRONMENTS; Abstract; A. Part A. Review of the Main Problem Solving and Optimization Techniques; B. Part B.A Review of Main Multi-Objective Optimization Techniques; C. Part C.A Case Study; Conclusion; References.
- Chapter 2: PROMOTING BETTER GENERALISATION IN MULTI-LAYER PERCEPTRONS USING A SIMULATED SYNAPTIC DOWNSCALING MECHANISMAbstract; 1. Introduction; 2. Background; 3. Model and Experiments; 4. Results and Analysis; 5. Conclusion; Acknowledgment; References; Chapter 3: PLANT PROPAGATION-INSPIRED ALGORITHMS; Abstract; 1. Introduction; 2. Background; 3. Plant Propagation Algorithms; 4. Applications; 5. Conclusion; References; Chapter 4: TOPOGRAPHICAL CLEARING DIFFERENTIAL EVOLUTION APPLIED TO REAL-WORLD MULTIMODAL OPTIMIZATION PROBLEMS; Abstract; 1. Introduction.
- 2. The Differential Evolution Algorithm3. Topographical Clearing; 4. Numerical Comparisons; 5. Conclusion; Appendix A. Nonlinear Systems Formulated as Optimization Problems; Appendix B. Data and Fitted Variables for the Catalytic Reactor Model; References; Chapter 5: ROBOTICS, EVOLUTION AND INTERACTIVITY IN SONIC ART INSTALLATIONS; Abstract; Introduction; 1. JaVOX, an Evolutionary Composition System; 2. Generative Sonification; 3. Automation x Interactivity; 4. Interactivity, Evolution and Structure; Conclusion; Acknowledgments; References.
- Chapter 6: AN ANALYSIS OF EVOLUTIONARY-BASED SAMPLING METHODOLOGIESAbstract; 1. Introduction; 2. Background; 3. Numerical Experiments: Design and Implementation; 4. Results and Discussion; 5. Conclusion; References; Blank Page; INDEX.