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Tables of Contents for Artificial Evolution
Chapter/Section Title
Page #
Page Count
Invited Paper
Why Biologists and Computer Scientists Should Work Together
3
16
Theoretical Issues
Niching in Monte Carlo Filtering Algorithms
19
12
Measurement of Population Diversity
31
11
Prediction of Binary Sequences by Evolving Finite State Machines
42
12
Extending Selection Learning toward Fixed-Length d-Ary Strings
54
11
Markov Random Field Modeling of Royal Road Genetic Algorithms
65
12
Measuring the Spatial Dispersion of Evolutionary Search Processes: Application to Walksat
77
14
Algorithmic Issues
The Importance of Selection Mechanisms in Distribution Estimation Algorithms
91
13
Surrogate Deterministic Mutation: Preliminary Results
104
13
The Effects of Partial Restarts in Evolutionary Search
117
11
History and Immortality in Evolutionary Computation
128
15
Applications
Origins and Learnability of Syllable Systems: A Cultural Evolutionary Model
143
13
Evolution Strategy in Portfolio Optimization
156
12
Scatter Search for Graph Coloring
168
12
The Two Stage Continuous Parallel Flow Shop Problem with Limited Storage: Modeling and Algorithms
180
12
SAT, Local Search Dynamics and Density of States
192
13
A Multiobjective Evolutionary Algorithm for Car Front End Design
205
14
Implementation Issues
EASEA Comparisons on Test Functions: GALib versus EO
219
12
Evolving Objects: A General Purpose Evolutionary Computation Library
231
14
Genetic Programming
Backwarding : An Overfitting Control for Genetic Programming in a Remote Sensing Application
245
10
Avoiding the Bloat with Stochastic Grammar-Based Genetic Programming
255
12
Applying Boosting Techniques to Genetic Programming
267
14
Constraints Handling
Dual Evolutionary Optimization
281
14
Using Evolutionary Algorithms Incorporating the Augmented Lagrangian Penalty Function to Solve Discrete and Continuous Constrained Non-linear Optimal Control Problems
295
16
Coevolution and Agents Systems
Cooperative Coevolution for Learning Fuzzy Rule-Based Systems
311
12
Evolving Cooperative Ecosystems: A Multi-agent Simulation of Deforestation Activities
323
15
The Impact of Environmental Structure on the Evolutionary Trajectories of a Foraging Agent
338
12
Learning as a Consequence of Selection
350
12
Coevolution and Evolving Parallel Cellular Automata-Based Scheduling Algorithms
362
13
Author Index
375