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Semantic ScholarGECCO 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
- Yasin Bakis, Osman Ugur Sezerman, M. Tekin Babaç, Cem Meydan:
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, José Ignacio Hidalgo, Francisco J. Soltero, José Luis Risco-Martín:
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 - 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, Michael O'Neill:
Efficient trade execution using a genetic algorithm in an order book based artificial stock market. 2023-2028 - Josefa Díaz, José Ignacio Hidalgo, Francisco Fernández, Oscar Garnica, Sonia López:
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, Nuno Horta:
Using GAs to balance technical indicators on stock picking for financial portfolio composition. 2041-2046 - Hajira Jabeen, Zunera Jalil, Abdul Rauf Baig:
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 - Karthik Kuber, Chilukuri K. Mohan:
Biasing evolving generations in learning classifier systems using information theoretic measures. 2077-2080 - Jung-Yi Lin:
Cancer classification using microarray and layered architecture genetic programming. 2085-2090 - Lingzhi Luo, Nilanjan Chakraborty, Katia P. Sycara:
Prisoner's dilemma on graphs with heterogeneous agents. 2097-2102 - Hossein Moeinzadeh, Babak Nasersharif, Abdolazim Rezaee, Hossein Pazhoumand-dar:
Improving classification accuracy using evolutionary fuzzy transformation. 2103-2108 - Hossein Moeinzadeh, Mehdi Mohammadi, Ahmad Akbari, Babak Nasersharif:
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 - Outi Räihä, Erkki Mäkinen, Timo Poranen:
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, Gabriel Dragffy, Anthony G. Pipe:
Novel bio-inspired self-repair algorithm for evolvable fault tolerant hardware systems. 2143-2148 - 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, Farrukh Aslam Khan:
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 - Ender Özcan, A. Sima Etaner-Uyar, Edmund K. Burke:
A greedy hyper-heuristic in dynamic environments. 2201-2204 - Edmund K. Burke, Timothy Curtois, Graham Kendall, Matthew R. Hyde, Gabriela Ochoa, José Antonio Vázquez Rodríguez:
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
Symbolic regression and modeling workshop (SRM)
- Eva Alfaro-Cid, Anna Esparcia-Alcázar, Pilar Moya, Juan Julián Merelo Guervós, Beatriu Femenia-Ferrer, Ken Sharman, Jaime Primo:
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 generalized generation gap model with parent centric crossover. 2321-2328 - 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 the nelder-mead downhill simplex algorithm with many local restarts. 2403-2408 - 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 noisy testbed. 2485-2490
Computational intelligence on consumer games and graphics hardware (CIGPU) 2009
- Carlos Pérez-Miguel, José Miguel-Alonso, Alexander Mendiburu:
Evaluating the cell broadband engine as a platform to run estimation of distribution algorithms. 2491-2498 - John Rieffel, Frank Saunders, Shilpa Nadimpalli, Harvey Zhou, Soha Hassoun, Jason Rife, Barry Trimmer:
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 - 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, A. 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)
- 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
International workshop on learning classifier systems
- 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 - 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 - 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, Shawn N. Murphy:
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, Aluizio F. R. Araújo:
Improving NSGA-II with an adaptive mutation operator. 2697-2700 - 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
Undergraduate student workshop
- Josh Glascock, Brian Hunter:
Minimizing total completion time in two-machine flow shops with exact delay using genetic algorithm & ant colony algorithm. 2733-2736 - Surabhi Gupta:
Relative fitness scaling for improving efficiency of proportionate selection in genetic algorithms. 2741-2744