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GECCO 2008: Atlanta, Georgia, USA - Companion Material
- Conor Ryan, Maarten Keijzer:
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
- Heike Sichtig, J. David Schaffer, Craig B. Laramee:
SSNNS -: a suite of tools to explore spiking neural networks. 1787-1790 - A. K. M. Khaled Ahsan Talukder:
Towards high speed multiobjective evolutionary optimizers. 1791-1794 - Edgar David Arenas-Díaz, Helga Ochoterena-Booth, Katya Rodríguez-Vázquez:
Multiple sequence alignment using a GLOCSA guided genetic algorithm. 1795-1798 - Luis V. Santana-Quintero, Carlos A. Coello Coello:
Accelerating convergence using rough sets theory for multi-objective optimization problems. 1799-1802 - Jae-Woo Kim:
How social structure and institutional order co-evolve beyond instrumental rationality. 1803-1806 - D. W. F. van Krevelen:
Specialization with NeuroEvolution in a collective behaviour task. 1807-1810 - Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka:
Local dominance and controlling dominance area of solutions in multi and many objectives EAs. 1811-1814 - Greg Paperin:
Using holey fitness landscapes to counteract premature convergence in evolutionary algorithms. 1815-1818 - José Carlos Bregieiro Ribeiro
:
Search-based test case generation for object-oriented java software using strongly-typed genetic programming. 1819-1822 - Wael Mansour Korani:
Bacterial foraging oriented by particle swarm optimization strategy for PID tuning. 1823-1826 - Saheeb Ahmed Kayani
Search for human competitive results in open ended automated synthesis of a primordial mechatronic system. 1827-1830
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)
- Martin Victor Sewell, Wei Yan:
Ultra high frequency financial data. 1847-1850 - Pablo Fernández-Blanco, Diego J. Bodas-Sagi, Francisco J. Soltero
Technical market indicators optimization using evolutionary algorithms. 1851-1858 - Ghada Hassan:
Non-linear factor model for asset selection using multi objective genetic programming. 1859-1862 - Juan Peralta, Germán Gutiérrez, Araceli Sanchis:
ADANN: automatic design of artificial neural networks. 1863-1870 - Antonio C. Briza, Prospero C. Naval Jr.:
Design of stock trading system for historical market data using multiobjective particle swarm optimization of technical indicators. 1871-1878
Defense applications of computational intelligence (DAC)
- Brad Rosenberg, Marc D. 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)
- Ivette C. Martínez, Klaus Jaffe:
Comparing different modes of horizontal information transmission in stabilizing cooperation in different complex networks. 1933-1938 - Marco Antonio Montes de Oca, Thomas Stützle:
Towards incremental social learning in optimization and multiagent systems. 1939-1944 - Norman Salazar, Juan A. Rodríguez-Aguilar
Infection-based self-configuration in agent societies. 1945-1952 - Camelia Chira, Anca Gog, Dumitru Dumitrescu:
Exploring population geometry and multi-agent systems: a new approach to developing evolutionary techniques. 1953-1960 - Dustin J. Nowak, Gary B. Lamont:
Autonomous agent behavior generation using multiobjective evolutionary optimization. 1961-1968 - Rodica Ioana Lung, Camelia Chira, Dumitru Dumitrescu:
An agent-based collaborative evolutionary model for multimodal optimization. 1969-1976
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 - María A. Franco, Ivette C. Martínez, Celso Gorrin:
Supply chain management sales using XCSR. 1993-2000 - Gilles Énée
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. de 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 C. 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)
- Luigi Malagò, Matteo Matteucci, Bernardo Dal Seno:
An information geometry perspective on estimation of distribution algorithms: boundary analysis. 2081-2088 - Dirk Thierens:
A bivariate probabilistic model-building genetic algorithm for graph bipartitioning. 2089-2092
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, Germán Jairo Hernández, 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
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
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
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
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
Double-deck elevator system using genetic network programming with genetic operators based on pheromone information. 2239-2244
Introductory
- Kenneth A. De Jong:
Evolutionary computation: a unified approach. 2245-2258 - Thomas Bäck:
Evolution strategies: basic introduction. 2259-2276 - Erik D. Goodman
Introduction to genetic algorithms. 2277-2298 - John R. Koza:
Introduction to genetic programming: tutorial. 2299-2338 - R. Muhammad Atif Azad
Gecco 2008 grammatical evolution tutorial. 2339-2366 - Martin V. Butz:
Learning classifier systems. 2367-2388 - Martin Pelikan
Probabilistic model-building genetic algorithms. 2389-2416
Advanced
- Thomas Jansen, Frank Neumann:
Computational complexity and evolutionary computation. 2417-2444 - Carlos A. Coello Coello:
Constraint-handling techniques used with evolutionary algorithms. 2445-2466 - Eckart Zitzler, Kalyanmoy Deb:
Evolutionary multiobjective optimization. 2467-2486 - Kalyanmoy Deb:
Evolutionary practical optimization. 2487-2516 - Thomas Bartz-Beielstein
Experimental research in evolutionary computation. 2517-2534 - Jonathan E. Rowe:
Genetic algorithm theory. 2535-2558 - Riccardo Poli:
Genetic programming theory. 2559-2588 - L. Darrell Whitley:
No free lunch. 2589-2612 - Franz Rothlauf:
Representations for evolutionary algorithms. 2613-2638 - Mark Wineberg, Steffen Christensen:
An introduction to statistical analysis for evolutionary computation. 2639-2664
Specialized techniques and applications
- Giovanni Squillero:
Ea-based test and verification of microprocessors. 2665-2688 - Yossi Borenstein:
An information perspective on evolutionary computation. 2689-2700 - Julian Francis Miller, Simon Harding:
Cartesian genetic programming. 2701-2726 - Anne Auger, Nikolaus Hansen:
Evolution strategies and related estimation of distribution algorithms. 2727-2740 - Moshe Sipper:
Evolutionary computation & games. 2741-2776 - Ian C. Parmee:
Evolutionary design search, exploration and optimisation. 2777-2804 - Rajeev Kumar:
Evolutionary multiobjective combinatorial optimization (EMCO). 2805-2828 - Risto Miikkulainen, Kenneth O. Stanley:
Evolving neural networks. 2829-2848 - Kenneth O. Stanley:
Generative and developmental systems. 2849-2864 - Lee Spector:
Quantum computing. 2865-2894 - Maarten Keijzer:
Symbolic regression. 2895-2906 - Carsten Witt:
Theory of randomised search heuristics in combinatorial optimisation: an algorithmic point of view. 2907-2946
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