Artificial Evolution
Springer Berlin (Verlag)
978-3-540-43544-0 (ISBN)
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 Modelling 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.- Using Evolutionary Algorithms Incorporating the Augmented Lagrangian Penalty Function to Solve Discrete and Continuous Constrained Non-linear Optimal Control Problems.- Coevolution and Agents Systems.- Cooperative Coevolution for Learning Fuzzy Rule-Based Systems.- Evolving Cooperative Ecosystems: A Multi-agent Simulation of Deforestation Activities.- The Impact of Environmental Structure on the Evolutionary Trajectories of a Foraging Agent.- Learning as a Consequence of Selection.- Coevolution and Evolving Parallel Cellular Automata-Based Scheduling Algorithms.
Erscheint lt. Verlag | 10.4.2002 |
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Reihe/Serie | Lecture Notes in Computer Science |
Zusatzinfo | XI, 374 p. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 155 x 233 mm |
Gewicht | 553 g |
Themenwelt | Mathematik / Informatik ► Informatik |
Naturwissenschaften ► Biologie ► Evolution | |
Schlagworte | Adaption • Algorithm analysis and problem complexity • algorithms • Artificial Evolution • Biocomputing • Evolution • evolutionary algorithms • evolutionary optimization • Evolutionary Search • Evolvable Systems • Genetic algorithms • genetic programming • Hardcover, Softcover / Informatik, EDV/Informatik • HC/Informatik, EDV/Informatik • Multi Agent Systems • Natural Computing • programming |
ISBN-10 | 3-540-43544-1 / 3540435441 |
ISBN-13 | 978-3-540-43544-0 / 9783540435440 |
Zustand | Neuware |
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