Advances in Evolutionary Computing
Theory and Applications
Ashish Ghosh, Shigeyoshi Tsutsui
Résumé
This book provides a collection of fourty articles containing new material on both theoretical aspects of Evolutionary Computing (EC), and demonstrating the usefulness/success of it for various kinds of large-scale real world problems. 23 articles are dealing with various theoretical aspects of EC and 17 articles demonstrating the success of EC methodologies. These articles are written by leading experts of the field from different countries all over the world.
Contents
- Smoothness, Ruggedness and Neutrality of Fitness Landscapes: from Theory to Application
- Fast Evolutionary Algorithms
- Visualizing Evolutionary Computation
- New Schemes of Biologically Inspired Evolutionary Computation
- On the Design of Problem-specific Evolutionary Algorithms
- Multiparent Recombination in Evolutionary Computing
- TCG-2: A Test-case Generator for Non-linear Parameter Optimisation Techniques
- A Real-coded Genetic Algorithm Using the Unimodal Normal Distribution Crossover
- Designing Evolutionary Algorithms for Dynamic Optimization Problems
- Multi-objective Evolutionary Algorithms: Introducing Bias Among Pareto-optimal Solutions
- Gene Expression and Scalable Genetic Search
- Solving Permutation Problems with the Ordering Messy Genetic Algorithm
- Effects of Adding Perturbations to Phenotypic Parameters in Genetic Algorithms for Searching Robust Solutions
- Evolution of Strategies for Resource Protection Problems
- A Unified Bayesian Framework;for Evolutionary Learning and Optimization
- Designed Sampling with Crossover Operators
- Evolutionary Computation for Evolutionary Theory
- Computational Embryology: Past, Present and Future
- An Evolutionary Approach to Synthetic Biology: Zen in the Art of Creating Life
- Scatter Search
- The Ant Colony Optimization Paradigm for Combinatorial Optimization
- Evolving Coordinated Agents
- Exploring the Predictable
- Approaches to Combining Local and Evolutionary Search for Training Neural Networks: A Review and Some New Results
- Evolving Analog Circuits by Variable Length Chromosomes
- Human-competitive Applications of Genetic Programming
- Evolutionary Algorithms for the Physical Design of VLSI Circuits
- From Theory to Practice: An Evolutionary Algorithm for the Antenna Placement Problem
- Routing Optimization in Corporate Networks by Evolutionary Algorithms
- Genetic Algorithms and Timetabling
- Machine Learning by Schedule Decomposition - Prospects for an Integration of AI and OR Techniques for Job Shop Scheduling
- Scheduling of Bus Drivers' Service by a Genetic Algorithm
- A Survey of Evolutionary Algorithms for Data Mining and Knowledge Discovery
- Data Mining from Clinical Data Using Interactive Evolutionary Computation
- Learning-integrated Interactive Image Segmentation
- An Immunogenetic Approach in Chemical Spectrum Recognition
- Application of Evolutionary Computation to Protein Folding
- Evolutionary Generation of Regrasping Motion
- Recent Trends in Learning Classifier Systems Research
- Better than Samuel: Evolving a Nearly Expert Checkers Player
L'auteur - Ashish Ghosh
Indian Statistical Institute, Kolkata, India
L'auteur - Shigeyoshi Tsutsui
Hannan University, Osaka, Japan
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Springer |
| Auteur(s) | Ashish Ghosh, Shigeyoshi Tsutsui |
| Parution | 16/12/2002 |
| Nb. de pages | 1022 |
| Format | 16 x 24 |
| Couverture | Relié |
| Poids | 1615g |
| Intérieur | Noir et Blanc |
| EAN13 | 9783540433309 |
Avantages Eyrolles.com
Consultez aussi
- Les meilleures ventes en Graphisme & Photo
- Les meilleures ventes en Informatique
- Les meilleures ventes en Construction
- Les meilleures ventes en Entreprise & Droit
- Les meilleures ventes en Sciences
- Les meilleures ventes en Littérature
- Les meilleures ventes en Arts & Loisirs
- Les meilleures ventes en Vie pratique
- Les meilleures ventes en Voyage et Tourisme
- Les meilleures ventes en BD et Jeunesse
