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GECCO 2009: Montreal, Québec, Canada - Companion Material
- Franz Rothlauf:
Genetic and Evolutionary Computation Conference, GECCO 2009, Proceedings, Montreal, Québec, Canada, July 8-12, 2009, Companion Material. ACM 2009, ISBN 978-1-60558-505-5
Late-breaking papers
- Adrian K. Agogino:
Evaluating evolution and monte carlo for controlling air traffic flow. 1957-1962 - Masoud Asadzadeh
, Bryan A. Tolson:
A new multi-objective algorithm, pareto archived DDS. 1963-1966 - Yasin Bakis, Osman Ugur Sezerman
Optimization of morphological data in numerical taxonomy analysis using genetic algorithms feature selection method. 1967-1970 - Edwin Roger Banks, Paul Agarwal, Marshall McBride, Claudette Owens:
A comparison of selection, recombination, and mutation parameter importance over a set of fifteen optimization tasks. 1971-1976 - Edwin Roger Banks, Paul Agarwal, Marshall McBride, Claudette Owens:
Lessons learned in application of evolutionary computation to a set of optimization tasks. 1977-1982 - Edwin Roger Banks, Paul Agarwal, Marshall McBride, Claudette Owens:
Toward a universal operator encoding for genetic programming. 1983-1986 - Aaron K. Baughman, Mweene Monze, Christian Eggenberger, Peter Malkin, Neil Katz, Chris Dawson, Barry Graham:
Exploring an evolutionary medical analytic wallet. 1987-1992 - Hendrik Blom, Christiane Küch, Katja Losemann, Chris Schwiegelshohn:
PEPPA: a project for evolutionary predator prey algorithms. 1993-1998 - Diego J. Bodas-Sagi, Pablo Fernández
Multiobjective optimization of technical market indicators. 1999-2004 - Yossi Borenstein, Abdullah Alsheddy, Edward P. K. Tsang, Nazaraf Shah
The degree of dynamism for workforce scheduling problem with stochastic task duration. 2005-2010 - David Catteeuw, Bernard Manderick:
Learning in the time-dependent minority game. 2011-2016 - Teodor Gabriel Crainic, Gloria Cerasela Crisan, Michel Gendreau, Nadia Lahrichi, Walter Rei:
A concurrent evolutionary approach for rich combinatorial optimization. 2017-2022 - Wei Cui, Anthony Brabazon
Efficient trade execution using a genetic algorithm in an order book based artificial stock market. 2023-2028 - Josefa Díaz
Improving SMT performance: an application of genetic algorithms to configure resizable caches. 2029-2034 - Jonatan Gómez, Roberto Poveda, Elizabeth León:
Grisland: a parallel genetic algorithm for finding near optimal solutions to the traveling salesman problem. 2035-2040 - António Gorgulho, Rui Ferreira Neves
Using GAs to balance technical indicators on stock picking for financial portfolio composition. 2041-2046 - Hajira Jabeen
Opposition based initialization in particle swarm optimization (O-PSO). 2047-2052 - Bryant A. Julstrom:
A data-based coding of candidate strings in the closest string problem. 2053-2058 - Chih-Wei Kang, Jian-Hung Chen:
Multi-objective evolutionary optimization of 3D differentiated sensor network deployment. 2059-2064 - Thomas R. Kiehl:
Evolving biochemical reaction networks with stochastic attributes. 2065-2070 - Kyung-Joong Kim, Hod Lipson
Towards a "theory of mind" in simulated robots. 2071-2076 - Karthik Kuber, Chilukuri K. Mohan:
Biasing evolving generations in learning classifier systems using information theoretic measures. 2077-2080 - William B. Langdon:
Evo_indent interactive evolution of GNU indent options. 2081-2084 - Jung-Yi Lin:
Cancer classification using microarray and layered architecture genetic programming. 2085-2090 - Matthias J. Linhardt, Martin V. Butz:
NEAT in increasingly non-linear control situations. 2091-2096 - Lingzhi Luo, Nilanjan Chakraborty, Katia P. Sycara:
Prisoner's dilemma on graphs with heterogeneous agents. 2097-2102 - Hossein Moeinzadeh
Improving classification accuracy using evolutionary fuzzy transformation. 2103-2108 - Hossein Moeinzadeh
Robust speech recognition using evolutionary class-dependent LDA. 2109-2114 - Mehdi Mohammadi, Hossein Pazhoumand-dar, Mohsen Soryani, Hossein Moeinzadeh
HS-ROBDD: an efficient variable order binary decision diagram. 2115-2118 - Michael E. Palmer, Daniel B. Miller:
An evolved neural controller for bipedal walking with dynamic balance. 2119-2124 - Brian Pinto, Andy Song
Motion detection in complex environments by genetic programming. 2125-2130 - Outi Räihä
Using simulated annealing for producing software architectures. 2131-2136 - Anthony M. Roy, Erik K. Antonsson, Andrew A. Shapiro:
An investigation into the structure of genomes within an evolution that uses embryogenesis. 2137-2142 - Mohammad Samie
Novel bio-inspired self-repair algorithm for evolvable fault tolerant hardware systems. 2143-2148 - Michael D. Schmidt, Hod Lipson
Solving iterated functions using genetic programming. 2149-2154 - Kisung Seo, Soohwan Hyun, Erik D. Goodman:
Tree-structure-aware GP operators for automatic gait generation of quadruped robot. 2155-2160 - Waseem Shahzad, Abdul Basit Siddiqui
Cryptanalysis of four-rounded DES using binary particleswarm optimization. 2161-2166 - Tim Weninger, William H. Hsu, Jing Xia, Waleed Aljandal:
An evolutionary approach to constructive induction for link discovery. 2167-2172 - Deniz Yörükoglu, Yasin Bakis, Osman Ugur Sezerman
An entropy based heuristic model for predicting functional sub-type divisions of protein families. 2173-2178 - Juan Cristóbal Zagal, Hod Lipson
Self-reflection in evolutionary robotics: resilient adaptation with a minimum of physical exploration. 2179-2188
Automated heuristic design: crossing the chasm for search methods
- Matthew R. Hyde, Edmund K. Burke, Graham Kendall:
Evolving human-competitive reusable 2D strip packing heuristics. 2189-2192 - Djamila Ouelhadj, Sanja Petrovic, Ender Ozcan:
A multi-level search framework for asynchronous cooperation of multiple hyper-heuristics. 2193-2196 - Johann Dréo:
Using performance fronts for parameter setting of stochastic metaheuristics. 2197-2200 - Ender Özcan, A. Sima Etaner-Uyar, Edmund K. Burke:
A greedy hyper-heuristic in dynamic environments. 2201-2204 - Edmund K. Burke, Timothy Curtois
Towards the decathlon challenge of search heuristics. 2205-2208 - Sean A. Bittle, Mark S. Fox:
Learning and using hyper-heuristics for variable and value ordering in constraint satisfaction problems. 2209-2212 - Álvaro Fialho, Luís Da Costa, Marc Schoenauer, Michèle Sebag:
Extreme: dynamic multi-armed bandits for adaptive operator selection. 2213-2216 - Dirk Thierens:
On benchmark properties for adaptive operator selection. 2217-2218
Symbolic regression and modeling workshop (SRM)
- Michael F. Korns:
Mutation and crossover with abstract expression grammars. 2219-2224 - Eva Alfaro-Cid, Anna Esparcia-Alcázar, Pilar Moya, Juan Julián Merelo Guervós
Multiobjective genetic programming approach for a smooth modeling of the release kinetics of a pheromone dispenser. 2225-2230
Black box optimization benchmarking (BBOB)
- José García-Nieto, Enrique Alba, Javier Apolloni:
Noiseless functions black-box optimization: evaluation of a hybrid particle swarm with differential operators. 2231-2238 - Benjamin Doerr, Mahmoud Fouz, Martin Schmidt, Magnus Wahlström
BBOB: Nelder-Mead with resize and halfruns. 2239-2246 - Peter A. N. Bosman, Jörn Grahl, Dirk Thierens:
AMaLGaM IDEAs in noiseless black-box optimization benchmarking. 2247-2254 - Daniel Molina, Manuel Lozano, Francisco Herrera:
A memetic algorithm using local search chaining forblack-box optimization benchmarking 2009 for noise free functions. 2255-2262 - Mohammed El-Abd, Mohamed S. Kamel:
Black-box optimization benchmarking for noiseless function testbed using an EDA and PSO hybrid. 2263-2268 - Mohammed El-Abd, Mohamed S. Kamel:
Black-box optimization benchmarking for noiseless function testbed using particle swarm optimization. 2269-2274 - Mohammed El-Abd, Mohamed S. Kamel:
Black-box optimization benchmarking for noiseless function testbed using PSO_bounds. 2275-2280 - Marcus Gallagher
Black-box optimization benchmarking: results for the BayEDAcG algorithm on the noiseless function testbed. 2281-2286 - Carlos García-Martínez, Manuel Lozano:
A continuous variable neighbourhood search based on specialised EAs: application to the noiseless BBO-benchmark 2009. 2287-2294 - Peter Korosec, Jurij Silc:
A stigmergy-based algorithm for black-box optimization: noiseless function testbed. 2295-2302 - Jirí Kubalík:
Black-box optimization benchmarking of prototype optimization with evolved improvement steps for noiseless function testbed. 2303-2308 - Petr Posik:
BBOB-benchmarking a simple estimation of distribution algorithm with cauchy distribution. 2309-2314 - Petr Posik:
BBOB-benchmarking the DIRECT global optimization algorithm. 2315-2320 - Petr Posik:
BBOB-benchmarking the generalized generation gap model with parent centric crossover. 2321-2328 - Petr Posik:
BBOB-benchmarking two variants of the line-search algorithm. 2329-2336 - Petr Posik:
BBOB-benchmarking the Rosenbrock's local search algorithm. 2337-2342 - José García-Nieto, Enrique Alba, Javier Apolloni:
Particle swarm hybridized with differential evolution: black box optimization benchmarking for noisy functions. 2343-2350 - Peter A. N. Bosman, Jörn Grahl, Dirk Thierens:
AMaLGaM IDEAs in noisy black-box optimization benchmarking. 2351-2358 - Daniel Molina, Manuel Lozano, Francisco Herrera:
A memetic algorithm using local search chaining for black-box optimization benchmarking 2009 for noisy functions. 2359-2366 - Carlos García-Martínez, Manuel Lozano:
A continuous variable neighbourhood search based on specialised eas: application to the noisy BBO-benchmark 2009 testbed. 2367-2374 - Peter Korosec, Jurij Silc:
A stigmergy-based algorithm for black-box optimization: noisy function testbed. 2375-2382 - Marcus R. Gallagher
Black-box optimization benchmarking: results for the BayEDAcG algorithm on the noisy function testbed. 2383-2388 - Nikolaus Hansen:
Benchmarking a BI-population CMA-ES on the BBOB-2009 function testbed. 2389-2396 - Nikolaus Hansen:
Benchmarking a BI-population CMA-ES on the BBOB-2009 noisy testbed. 2397-2402 - Nikolaus Hansen:
Benchmarking the nelder-mead downhill simplex algorithm with many local restarts. 2403-2408 - Raymond Ros:
Benchmarking the BFGS algorithm on the BBOB-2009 function testbed. 2409-2414 - Raymond Ros:
Benchmarking the BFGS algorithm on the BBOB-2009 noisy testbed. 2415-2420 - Raymond Ros:
Benchmarking the NEWUOA on the BBOB-2009 function testbed. 2421-2428 - Raymond Ros:
Benchmarking the NEWUOA on the BBOB-2009 noisy testbed. 2429-2434 - Raymond Ros:
Benchmarking sep-CMA-ES on the BBOB-2009 function testbed. 2435-2440 - Raymond Ros:
Benchmarking sep-CMA-ES on the BBOB-2009 noisy testbed. 2441-2446 - Anne Auger:
Benchmarking the (1+1) evolution strategy with one-fifth success rule on the BBOB-2009 function testbed. 2447-2452 - Anne Auger:
Benchmarking the (1+1)-ES with one-fifth success rule on the BBOB-2009 noisy testbed. 2453-2458 - Anne Auger, Nikolaus Hansen:
Benchmarking the (1+1)-CMA-ES on the BBOB-2009 function testbed. 2459-2466 - Anne Auger, Nikolaus Hansen:
Benchmarking the (1+1)-CMA-ES on the BBOB-2009 noisy testbed. 2467-2472 - Miguel Nicolau:
Application of a simple binary genetic algorithm to a noiseless testbed benchmark. 2473-2478 - Anne Auger, Raymond Ros:
Benchmarking the pure random search on the BBOB-2009 testbed. 2479-2484 - Anne Auger, Raymond Ros:
Benchmarking the pure random search on the BBOB-2009 noisy testbed. 2485-2490
Computational intelligence on consumer games and graphics hardware (CIGPU) 2009
- Carlos Pérez-Miguel, José Miguel-Alonso
Evaluating the cell broadband engine as a platform to run estimation of distribution algorithms. 2491-2498 - John Rieffel, Frank Saunders, Shilpa Nadimpalli
Evolving soft robotic locomotion in PhysX. 2499-2504 - Joseph M. Cavanagh, Thomas E. Potok, Xiaohui Cui:
Parallel latent semantic analysis using a graphics processing unit. 2505-2510 - William B. Langdon:
A fast high quality pseudo random number generator for nVidia CUDA. 2511-2514 - Man Leung Wong:
Parallel multi-objective evolutionary algorithms on graphics processing units. 2515-2522 - Shigeyoshi Tsutsui, Noriyuki Fujimoto:
Solving quadratic assignment problems by genetic algorithms with GPU computation: a case study. 2523-2530 - Garnett Carl Wilson, Wolfgang Banzhaf:
Deployment of CPU and GPU-based genetic programming on heterogeneous devices. 2531-2538
Defense applications of computational intelligence
- Riyad Alshammari, Peter Lichodzijewski, Malcolm I. Heywood, Nur Zincir-Heywood:
Classifying SSH encrypted traffic with minimum packet header features using genetic programming. 2539-2546 - Brendan J. Babb, Frank W. Moore, Michael R. Peterson:
Improved multiresolution analysis transforms for satellite image compression and reconstruction using evolution strategies. 2547-2552 - Bryant A. Julstrom:
String- and permutation-coded genetic algorithms for the static weapon-target assignment problem. 2553-2558 - Gary B. Lamont, Eric M. Holloway:
Military network security using self organized multi-agent entangled hierarchies. 2559-2566
Evolutionary computation and multi-agent systems and simulation (ECoMASS)
- James A. Wilson, Liying Yan:
Self-organizing economic activity with costly information. 2567-2574 - Camelia Chira, Anca Gog, D. Dumitrescu:
Asynchronous collaborative search using adaptive co-evolving subpopulations. 2575-2582 - Min Shi:
Comparison of sorting algorithms for multi-fitness measurement of cooperative coevolution. 2583-2588 - Eric M. Holloway, Gary B. Lamont:
Self organized multi-agent entangled hierarchies for network security. 2589-2596 - Peter J. Bentley:
The game of funding: modelling peer review for research grants. 2597-2602
International workshop on learning classifier systems
- Stewart W. Wilson:
Coevolution of pattern generators and recognizers. 2605-2608 - M. Zubair Shafiq, S. Momina Tabish, Muddassar Farooq:
On the appropriateness of evolutionary rule learning algorithms for malware detection. 2609-2616 - Ajay Kumar Tanwani, Muddassar Farooq:
Performance evaluation of evolutionary algorithms in classification of biomedical datasets. 2617-2624 - Richard Preen
An XCS approach to forecasting financial time series. 2625-2632 - Alexander Scheidler, Martin Middendorf:
Evolved cooperation and emergent communication structures in learning classifier based organic computing systems. 2633-2640
Learning from failures in evolutionary computation (LFFEC)
- Wolfgang Konen, Thomas Bartz-Beielstein
Reinforcement learning for games: failures and successes. 2641-2648 - Johannes W. Kruisselbrink, Michael T. M. Emmerich, Thomas Bäck:
On the limitations of adaptive resampling in using the student's t-test evolution strategies. 2649-2656 - Jörn Mehnen:
Lessons learned in evolutionary computation: 11 steps to success. 2657-2660 - J. David Schaffer, Heike Sichtig, Craig B. Laramee:
A series of failed and partially successful fitness functions for evolving spiking neural networks. 2661-2664
Medical applications of genetic and evolutionary computation (MedGEC)
- Robert M. Patton, Thomas E. Potok, Barbara G. Beckerman, Jim N. Treadwell:
A genetic algorithm for learning significant phrase patterns in radiology reports. 2665-2670 - Ping Wu, Erik D. Goodman, Tang Jiang, Min Pei:
A hybrid GA-based fuzzy classifying approach to urinary analysis modeling. 2671-2678 - Margarita Sordo, Gabriela Ochoa
A PSO/ACO approach to knowledge discovery in a pharmacovigilance context. 2679-2684 - Meng Yao, Qi-feng Pan, Zhi-fu Tao:
Application of quantum genetic algorithm on breast tumor imaging with microwave. 2685-2688
Graduate student workshop
- Abel García-Nájera:
Preserving population diversity for the multi-objective vehicle routing problem with time windows. 2689-2692 - Antonio López Jaimes, Carlos A. Coello Coello:
Some techniques to deal with many-objective problems. 2693-2696 - Arthur Gonçalves Carvalho, Aluízio F. R. Araújo:
Improving NSGA-II with an adaptive mutation operator. 2697-2700 - Benjamin James Bush:
Solving the eltrut problem with hybrid evolutionary algorithms. 2701-2704 - Erik Hemberg:
An exploration of learning and grammars in grammatical evolution. 2705-2708 - Kyriakos Kentzoglanakis, Matthew Poole:
Gene network inference using a swarm intelligence framework. 2709-2712 - Leonor Albuquerque Melo:
Multi-colony ant colony optimization for the node placement problem. 2713-2716 - Mark Coletti:
Learnable evolution model performance impaired by binary tournament survival selection. 2717-2720 - Ivette C. Martínez, Klaus Jaffe:
Combined effect of the direction of information transmission and the spatiality over sustaining cooperation. 2721-2724 - Nikhil Padhye, Subodh Kalia:
Rapid prototyping using evolutionary approaches: part 1. 2725-2728
Undergraduate student workshop
- Mustafa Safdari:
Evolving universal hash functions using genetic algorithms. 2729-2732 - Josh Glascock, Brian Hunter:
Minimizing total completion time in two-machine flow shops with exact delay using genetic algorithm & ant colony algorithm. 2733-2736 - Nikhil Padhye, Subodh Kalia:
Rapid prototyping using evolutionary approaches: part 2. 2737-2740 - Surabhi Gupta:
Relative fitness scaling for improving efficiency of proportionate selection in genetic algorithms. 2741-2744 - Steve R. Bergen:
Evolving stylized images using a user-interactive genetic algorithm. 2745-2752
Tutorials
- Erik D. Goodman:
Introduction to genetic algorithms. 2753-2774 - Riccardo Poli, Nicholas Freitag McPhee:
Introduction to genetic programming. 2775-2810 - Kenneth A. De Jong:
A unified approach to Evolutionary Computation. 2811-2824 - Christian Blum:
Ant colony optimization. 2825-2852 - Pier Luca Lanzi:
Learning classifier systems. 2853-2878 - Martin Pelikan
Probabilistic model-building genetic algorithms. 2879-2906 - Conor Ryan
Grammatical evolution. 2907-2948 - Mark Wineberg, Steffen Christensen:
Statistical analysis for evolutionary computation: introduction. 2949-2976 - Risto Miikkulainen, Kenneth O. Stanley:
Evolving neural networks. 2977-3014 - Riccardo Poli, William B. Langdon:
Genetic programming theory I & II. 3015-3056 - L. Darrell Whitley:
No free lunch: 1995-2008. 3057-3088 - Carlos Artemio Coello Coello:
Constraint-handling techniques used with evolutionary algorithms. 3089-3110 - Mark Wineberg, Steffen Christensen:
Statistical analysis for evolutionary computation: advanced techniques. 3111-3130 - Franz Rothlauf:
Representations for evolutionary algorithms. 3131-3156 - Thomas Jansen, Frank Neumann:
Computational complexity and evolutionary computation. 3157-3184 - Thomas Bartz-Beielstein
the future of experimental research. 3185-3226 - L. Darrell Whitley, Andrew M. Sutton
Elementary landscape analysis. 3227-3236 - Wolfgang Banzhaf, Simon Harding:
Accelerating evolutionary computation with graphics processing units. 3237-3286 - Lee Spector:
Evolving quantum computer algorithms. 3287-3316 - Yossi Borenstein:
An information perspective on evolutionary computation. 3317-3334 - Kenneth O. Stanley:
Generative and developmental systems. 3335-3354 - Mengjie Zhang, Stefano Cagnoni, Gustavo Olague:
Evolutionary computer vision. 3355-3380 - Jaume Bacardit, Xavier Llorà:
Large scale data mining using genetics-based machine learning. 3381-3412 - Rajeev Kumar:
Evolutionary multiobjective combinatorial optimization (EMCO): emco. 3413-3436 - Nawwaf Kharma, Luc Varin:
Synthetic biology I. 3437-3438 - Natalio Krasnogor:
Synthetic biology: modelling and optimisation. 3439-3488 - Julian Francis Miller, Simon L. Harding:
Cartesian genetic programming. 3489-3512 - Muddassar Farooq:
Bio-inspired telecommunications. 3513-3550 - Carsten Witt:
Theory of randomised search heuristics in combinatorial optimisation: an algorithmic point of view. 3551-3592 - Sébastien Vérel
Fitness landscapes and graphs: multimodularity, ruggedness and neutrality. 3593-3656 - Leonardo Vanneschi:
Fitness landscapes and problem hardness in genetic programming. 3657-3684
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