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Home > Genetic and Evolutionary Computation — GECCO 2004: Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26–30, 2004 Proceedings, Part II > Transfer of Neuroevolved Controllers in Unstable Domains
Genetic and Evolutionary Computation — GECCO 2004: Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26–30, 2004 Proceedings, Part II |
Kalyanmoy Deb; Riccardo Poli; Wolfgang Banzhaf; Hans-Georg Beyer; Edmund Burke; Paul Darwen; Dipankar Dasgupta; Dario Floreano; James A. Foster; Mark Harman; Owen Holland; Pier Luca Lanzi; Lee Spector; Andrea Tettamanzi; Dirk Thierens; Andy Tyrrell
Springer Berlin Heidelberg
Genetic and Evolutionary Computation — GECCO 2004: Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26–30, 2004 Proceedings, Part II
Transfer of Neuroevolved Controllers in Unstable Domains
Authors

Faustino J. Gomez; Risto Miikkulainen

ARI Id

1664823018960_3663347

Access

Not Available Free

Pages

957-968

DOI

10.1007/978-3-540-24855-2_108

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-540-24855-2_108

Table of Contents of Book
Showing 1 to 20 of 167 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
PID Controller Tuning for Stable and Unstable Processes Applying GA
Marco Antonio Paz-Ramos; Jose Torres-Jimenez; Enrique Quintero-Marmol-Marquez; Hugo Estrada-Esquivel
1-10
Dynamic Uniform Scaling for Multiobjective Genetic Algorithms
Gerulf K. M. Pedersen; David E. Goldberg
11-23
Parameter-Less Hierarchical BOA
Martin Pelikan; Tz-Kai Lin
24-35
Computational Complexity and Simulation of Rare Events of Ising Spin Glasses
Martin Pelikan; Jiri Ocenasek; Simon Trebst; Matthias Troyer; Fabien Alet
36-47
Fitness Inheritance in the Bayesian Optimization Algorithm
Martin Pelikan; Kumara Sastry
48-59
Limit Cycle Prediction in Multivariable Nonlinear Systems Using Genetic Algorithms
Farzan Rashidi; Mehran Rashidi
60-68
Evolving Reusable Neural Modules
Joseph Reisinger; Kenneth O. Stanley; Risto Miikkulainen
69-81
How Are We Doing? Predicting Evolutionary Algorithm Performance
Mark A. Renslow; Brenda Hinkemeyer; Bryant A. Julstrom
82-89
Introduction of a New Selection Parameter in Genetic Algorithm for Constrained Reliability Design Problems
Laure Rigal; Bruno Castanier; Philippe Castagliola
90-101
Improving the Performance of a Genetic Algorithm Using a Variable-Reordering Algorithm
Eduardo Rodriguez-Tello; Jose Torres-Jimenez
102-113
Designing Competent Mutation Operators Via Probabilistic Model Building of Neighborhoods
Kumara Sastry; David E. Goldberg
114-125
Let’s Get Ready to Rumble: Crossover Versus Mutation Head to Head
Kumara Sastry; David E. Goldberg
126-137
Classification with Scaled Genetic Algorithms in a Coevolutionary Setting
Lothar M. Schmitt
138-149
New Epistasis Measures for Detecting Independently Optimizable Partitions of Variables
Dong-Il Seo; Sung-Soon Choi; Byung-Ro Moon
150-161
Clustering with Niching Genetic K-means Algorithm
Weiguo Sheng; Allan Tucker; Xiaohui Liu
162-173
A Comparison of Genetic Programming and Genetic Algorithms in the Design of a Robust, Saturated Control System
Andrea Soltoggio
174-185
Upper Bounds on the Time and Space Complexity of Optimizing Additively Separable Functions
Matthew J. Streeter
186-197
Winnowing Wheat from Chaff: The Chunking GA
Hal Stringer; Annie S. Wu
198-209
An Effective Chromosome Representation for Evolving Flexible Job Shop Schedules
Joc Cing Tay; Djoko Wibowo
210-221
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 167 entries
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