| The LNCS series reports state-of-the-art results in computer science research，development，and education，at a high level and in both printed and electronic form.Enjoying tight cooperation with the R&D community，with numerous individuals，as well as with prestigious organizations and societies，LNCS has grown into the most comprehensive computer science research forum available. The scope of LNCS including its subseries LNAI spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields.The type of material published traditionally includes. —proceedings （published in time for the respective conference） —post-proceedings （consisting of thoroughly revised final full papers） —research monographs（which may be based on outstanding PhD work，research projects，technical reports，etc.） |
| Invited Paper Why Biologists and Computer Scientists Should Work Together.. Theoretical Issues Niching in Monte Carlo Filtering Algorithms Measurement of Population Diversity Prediction of Binary Sequences by Evolving Finite State Machines Extending Selection Learning toward Fixed-Length d-Ary Strings Markov Random Field Modeling of Royal Road Genetic Algorithms Measuring the Spatial Dispersion of Evolutionary Search Processes: Application to Walksat Algorithmic Issues The Importance of Selection Mechanisms in Distribution Estimation Algorithms Surrogate Deterministic Mutation: Preliminary Results The Effects of Partial Restarts in Evolutionary Search History and Immortality in Evolutionary Computation Applications Origins and Learnability of Syllable Systems: A Cultural Evolutionary Model Evolution Strategy in Portfolio Optimization Scatter Search for Graph Coloring The Two Stage Continuous Parallel Flow Shop Problem with Limited Storage: Modeling and Algorithms SAT, Local Search Dynamics and Density of States A Multiobjective Evolutionary Algorithm for Car Front End Design Implementation Issues EASEA Comparisons on Test Functions: GALib versus EO Evolving Objects: A General Purpose Evolutionary Computation Library Genetic Programming Backwarding : An Overfitting Control for Genetic Programming in a Remote Sensing Application Avoiding the Bloat with Stochastic Grammar-Based Genetic Programming Applying Boosting Techniques to Genetic Programming Constraints Handling Dual Evolutionary Optimization …… Coevolution and Agents Systems Author Index |
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