GECCO 2008:
Atlanta,
Georgia,
USA - Companion Material
Conor Ryan, Maarten Keijzer (Eds.):
Genetic and Evolutionary Computation Conference, GECCO 2008, Proceedings, Atlanta, GA, USA, July 12-16, 2008, Companion Material.
ACM 2008, ISBN 978-1-60558-131-6 
Graduate student workshops
Undergraduate Student Workshop
- Nikhil Padhye:
Topology optimization of compliant mechanism using multi-objective particle swarm optimization.
1831-1834
- Nikhil Padhye:
Interplanetary trajectory optimization with swing-bys using evolutionary multi-objective optimization.
1835-1838
- Ryan K. Small:
Agent Smith: a real-time game-playing agent for interactive dynamic games.
1839-1842
- Aranildo Rodrigues Lima Junior:
A study for multi-objective fitness function for time series forecasting with intelligent techniques.
1843-1846
Advanced research challenges in financial evolutionary computing (ARC-FEC)
Defense applications of computational intelligence (DAC)
- Brad Rosenberg, Marc Richards, John T. Langton, Sofya Tenenbaum, Daniel W. Stouch:
Applications of multi-objective evolutionary algorithms to air operations mission planning.
1879-1886
- Tiago Francisco, Gustavo Miguel Jorge dos Reis:
Evolving combat algorithms to control space ships in a 2D space simulation game with co-evolution using genetic programming and decision trees.
1887-1892
- Tiago Francisco, Gustavo Miguel Jorge dos Reis:
Evolving predator and prey behaviours with co-evolution using genetic programming and decision trees.
1893-1900
- Brendan Babb, Frank W. Moore, Michael R. Peterson, Gary B. Lamont:
Evolving better satellite image compression and reconstruction transforms.
1901-1906
- Frank W. Moore, Brendan J. Babb:
A differential evolution algorithm for optimizing signal compression and reconstruction transforms.
1907-1912
- Dustin J. Nowak, Gary B. Lamont, Gilbert L. Peterson:
Emergent architecture in self organized swarm systems for military applications.
1913-1920
- Laurence D. Merkle:
Metaoptimization of the in-lining priority function for a compiler targeting a polymorphous computing architecture.
1921-1928
- Laurence D. Merkle:
Automated network forensics.
1929-1932
Evolutionary computation and multi-agent systems and simulation (ECoMASS)
Learning classifier systems
- Gerard David Howard, Larry Bull:
On the effects of node duplication and connection-oriented constructivism in neural XCSF.
1977-1984
- Daniele Loiacono, Pier Luca Lanzi:
Recursive least squares and quadratic prediction in continuous multistep problems.
1985-1992
- Maria A. Franco, Ivette C. Martínez, Celso Gorrin:
Supply chain management sales using XCSR.
1993-2000
- Gilles Énée, Mathias Peroumalnaïk:
Adapted Pittsburgh classifier system: building accurate strategies in non markovian environments.
2001-2008
- Trung Hau Tran, Cédric Sanza, Yves Duthen:
Evolving prediction weights using evolution strategy.
2009-2016
- Rosane Maria Maffei Vallim, David E. Goldberg, Xavier Llorà, Thyago S. P. C. Duque, André C. P. L. F. Carvalho:
A new approach for multi-label classification based on default hierarchies and organizational learning.
2017-2022
- Patrick O. Stalph, Martin V. Butz:
Towards increasing learning speed and robustness of XCSF: experimenting with larger offspring set sizes.
2023-2030
- Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla:
First approach toward on-line evolution of association rules with learning classifier systems.
2031-2038
- Maximiliano Tabacman, Natalio Krasnogor, Jaume Bacardit, Irene Loiseau:
Learning classifier systems for optimisation problems: a case study on fractal travelling salesman problem.
2039-2046
MedGEC--medical applications of genetic and evolutionary computation
- Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Josh Bongard:
Informative sampling for large unbalanced data sets.
2047-2054
- Adel Blouza, Laurent Dumas, Ibrahima M'Baye:
Multiobjective optimization of a stent in a fluid-structure context.
2055-2060
- Robert M. Patton, Barbara G. Beckerman, Thomas E. Potok:
Analysis of mammography reports using maximum variation sampling.
2061-2064
- Daniela Zaharie, Diana Lungeanu, Flavia Zamfirache:
Interactive search of rules in medical data using multiobjective evolutionary algorithms.
2065-2072
- Alex Hazell, Stephen L. Smith:
Towards an objective assessment of alzheimer's disease: the application of a novel evolutionary algorithm in the analysis of figure copying tasks.
2073-2080
Optimization by building and using probabilistic models (OBUPM)
Late-breaking papers
- Aliya Awais, Muddassar Farooq, Muhammad Younus Javed:
Attack analysis & bio-inspired security framework for IPMultimedia subsystem.
2093-2098
- Aaron K. Baughman:
Evolutionary facial feature selection.
2099-2104
- Maumita Bhattacharya:
A synergistic approach for evolutionary optimization.
2105-2110
- Maumita Bhattacharya:
Handling uncertainty with a real-coded EA.
2111-2116
- Maumita Bhattacharya:
Reduced computation for evolutionary optimization in noisy environment.
2117-2122
- Jian-Hong Chen, Jian-Hung Chen:
Multi-objective memetic approach for flexible process sequencing problems.
2123-2128
- Dipankar Dasgupta, German Hernandez, Deon Garrett, Pavan Kalyan Vejandla, Aishwarya Kaushal, Ramjee Yerneni, James Simien:
A comparison of multiobjective evolutionary algorithms with informed initialization and kuhn-munkres algorithm for the sailor assignment problem.
2129-2134
- Dirk J. W. De Pauw, Bernard De Baets:
Incorporating model identifiability into equation discovery of ODE systems.
2135-2140
- Terrence P. Fries:
A fuzzy-genetic approach to network intrusion detection.
2141-2146
- David Iclanzan, Dumitru Dumitrescu:
Towards memoryless model building.
2147-2152
- Janine H. Imada, Brian J. Ross:
Using feature-based fitness evaluation in symbolic regression with added noise.
2153-2158
- Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wieloch:
Multi-task code reuse in genetic programming.
2159-2164
- Saheeb Ahmed Kayani, Muhammad Afzaal Malik:
Bond-graphs + genetic programming: analysis of an automatically synthesized rotary mechanical system.
2165-2168
- Gul Muhammad Khan, Julian Francis Miller, David M. Halliday:
Developing neural structure of two agents that play checkers using cartesian genetic programming.
2169-2174
- Krzysztof Krawiec, PrzemysBaw Polewski:
Potential fitness for genetic programming.
2175-2180
- Jörg Lässig, Karl Heinz Hoffmann, Mihaela Enachescu:
Threshold selecting: best possible probability distribution for crossover selection in genetic algorithms.
2181-2186
- Ana Madureira, Filipe Santos, Ivo Pereira:
Self-managing agents for dynamic scheduling in manufacturing.
2187-2192
- Topon Kumar Paul, Ken Ueno, Koichiro Iwata, Toshio Hayashi, Nobuyoshi Honda:
Risk prediction and risk factors identification from imbalanced data with RPMBGA+.
2193-2198
- Joshua L. Payne, Margaret J. Eppstein:
Parameterizing pair approximations for takeover dynamics.
2199-2204
- Shinichi Shirakawa, Tomoharu Nagao:
Evolutionary algorithm considering program size: efficient program evolution using grape.
2217-2222
- Giovanni Squillero, Alberto Paolo Tonda:
A novel methodology for diversity preservation in evolutionary algorithms.
2223-2226
- Keith Sullivan, Sean Luke, Curt Larock, Sean Cier, Steven Armentrout:
Opportunistic evolution: efficient evolutionary computation on large-scale computational grids.
2227-2232
- Dominic Wilson, Devinder Kaur:
Using quotient graphs to model neutrality in evolutionary search.
2233-2238
- Lu Yu, Jin Zhou, Fengming Ye, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa, Sandor Markon:
Double-deck elevator system using genetic network programming with genetic operators based on pheromone information.
2239-2244
Introductory
Advanced
Specialized techniques and applications
Copyright © Mon Nov 2 20:37:41 2009
by Michael Ley (ley@uni-trier.de)
