GECCO 2010:
Portland,
Oregon,
USA - Companion Material
Martin Pelikan, Jürgen Branke (Eds.):
Genetic and Evolutionary Computation Conference, GECCO 2010, Proceedings, Portland, Oregon, USA, July 7-11, 2010, Companion Material.
ACM 2010, ISBN 978-1-4503-0073-5 
Black box optimization benchmarking 2010 (BBOB 2010)
- Thomas Weise, Li Niu, Ke Tang:
AOAB: automated optimization algorithm benchmarking.
1479-1486
- Raymond Ros:
Comparison of NEWUOA with different numbers of interpolation points on the BBOB noiseless testbed.
1487-1494
- Raymond Ros:
Comparison of NEWUOA with different numbers of interpolation points on the BBOB noisy testbed.
1495-1502
- Raymond Ros:
Black-box optimization benchmarking the IPOP-CMA-ES on the noiseless testbed: comparison to the BIPOP-CMA-ES.
1503-1510
- Raymond Ros:
Black-box optimization benchmarking the IPOP-CMA-ES on the noisy testbed: comparison to the BIPOP-CMA-ES.
1511-1518
- Nikolaus Hansen, Raymond Ros:
Black-box optimization benchmarking of NEWUOA compared to BIPOP-CMA-ES: on the BBOB noiseless testbed.
1519-1526
- Álvaro Fialho, Wenyin Gong, Zhihua Cai:
Probability matching-based adaptive strategy selection vs. uniform strategy selection within differential evolution: an empirical comparison on the bbob-2010 noiseless testbed.
1527-1534
- Álvaro Fialho, Marc Schoenauer, Michèle Sebag:
Fitness-AUC bandit adaptive strategy selection vs. the probability matching one within differential evolution: an empirical comparison on the bbob-2010 noiseless testbed.
1535-1542
- Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Comparing the (1+1)-CMA-ES with a mirrored (1+2)-CMA-ES with sequential selection on the noiseless BBOB-2010 testbed.
1543-1550
- Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Mirrored variants of the (1, 2)-CMA-ES compared on the noiseless BBOB-2010 testbed.
1551-1558
- Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Mirrored variants of the (1, 4)-CMA-ES compared on the noiseless BBOB-2010 testbed.
1559-1566
- Jirí Kubalík:
Black-box optimization benchmarking of two variants of the POEMS algorithm on the noiseless testbed.
1567-1574
- Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Mirrored variants of the (1, 2)-CMA-ES compared on the noisy BBOB-2010 testbed.
1575-1582
- Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Mirrored variants of the (1, 4)-CMA-ES compared on the noisy BBOB-2010 testbed.
1583-1590
- Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noiseless BBOB-2010 testbed.
1591-1596
- Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noiseless BBOB-2010 testbed.
1597-1604
- Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noisy BBOB-2010 testbed.
1605-1610
- Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noisy BBOB-2010 testbed.
1611-1616
- Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noiseless BBOB-2010 testbed.
1617-1624
- Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noisy BBOB-2010 testbed.
1625-1632
- Steffen Finck, Hans-Georg Beyer:
Benchmarking CMA-EGS on the BBOB 2010 noiseless function testbed.
1633-1640
- Steffen Finck, Hans-Georg Beyer:
Benchmarking CMA-EGS on the BBOB 2010 noisy function testbed.
1641-1648
- Antonio LaTorre, Santiago Muelas, José María Peña:
Benchmarking a MOS-based algorithm on the BBOB-2010 noiseless function testbed.
1649-1656
- Steffen Finck, Hans-Georg Beyer:
Benchmarking SPSA on BBOB-2010 noiseless function testbed.
1657-1664
- Steffen Finck, Hans-Georg Beyer:
Benchmarking SPSA on BBOB-2010 noisy function testbed.
1665-1672
- Nikolaus Hansen, Raymond Ros:
Benchmarking a weighted negative covariance matrix update on the BBOB-2010 noiseless testbed.
1673-1680
- Nikolaus Hansen, Raymond Ros:
Benchmarking a weighted negative covariance matrix update on the BBOB-2010 noisy testbed.
1681-1688
- Nikolaus Hansen, Anne Auger, Raymond Ros, Steffen Finck, Petr Posík:
Comparing results of 31 algorithms from the black-box optimization benchmarking BBOB-2009.
1689-1696
- Petr Posík:
Comparison of cauchy EDA and BIPOP-CMA-ES algorithms on the BBOB noiseless testbed.
1697-1702
- Petr Posík, Jirí Kubalík:
Comparison of cauchy EDA and pPOEMS algorithms on the BBOB noiseless testbed.
1703-1710
- Mike Preuss:
Niching the CMA-ES via nearest-better clustering.
1711-1718
- Mohammed El-Abd:
Black-box optimization benchmarking for noiseless function testbed using artificial bee colony algorithm.
1719-1724
- Antonio LaTorre, Santiago Muelas, José María Peña:
Benchmarking a MOS-based algorithm on the BBOB-2010 noisy function testbed.
1725-1730
- Thanh-Do Tran, Gang-Gyoo Jin:
Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed.
1731-1738
- Thanh-Do Tran, Gang-Gyoo Jin:
Benchmarking real-coded genetic algorithm on noisy black-box optimization testbed.
1739-1744
- Petr Posík:
Comparison of cauchy EDA and rosenbrock's algorithms on the BBOB noiseless testbed.
1745-1752
- Petr Posík:
Comparison of cauchy EDA and G3PCX algorithms on the BBOB noiseless testbed.
1753-1760
- Petr Posík:
Comparison of G3PCX and Rosenbrock's algorithms on the BBOB noiseless testbed.
1761-1768
Evolutionary computation and multi-agent systems and simulation (ECoMASS) - fourth annual workshop
Evolutionary computation techniques for constraint handling
Entropy,
information and complexity
Thirteenth international workshop on learning classifier systems
- María A. Franco, Natalio Krasnogor, Jaume Bacardit:
Analysing bioHEL using challenging boolean functions.
1855-1862
- Patrick O. Stalph, Jérémie Rubinsztajn, Olivier Sigaud, Martin V. Butz:
A comparative study: function approximation with LWPR and XCSF.
1863-1870
- Anthony Knittel:
An activation reinforcement based classifier system for balancing generalisation and specialisation (ARCS).
1871-1878
- Gilles Énée, Mathias Péroumalnaïk:
Speedup character-based matching in learning classifier systems with Xor.
1879-1884
- Karthik Kuber, Chilukuri K. Mohan:
Information theoretic fitness measures for learning classifier systems.
1885-1892
- Mohammad Behdad, Luigi Barone, Tim French, Mohammed Bennamoun:
An investigation of real-valued accuracy-based learning classifier systems for electronic fraud detection.
1893-1900
- Mathias Péroumalnaïk, Gilles Énée:
Prediction using Pittsburgh learning classifier systems: APCS use case.
1901-1908
Medical applications of genetic and evolutionary computation (MedGEC)
- Muhammad Arsalan, Sana Ambreen Malik, Asifullah Khan:
Intelligent threshold selection for reversible watermarking of medical images.
1909-1914
- Stephan M. Winkler, Michael Affenzeller, Witold Jacak, Herbert Stekel:
Classification of tumor marker values using heuristic data mining methods.
1915-1922
- Julian F. Miller, Stephen L. Smith, Yuan Zhang:
Detection of microcalcifications in mammograms using multi-chromosome Cartesian genetic programming.
1923-1930
- Robert M. Patton, Barbara G. Beckerman, Thomas E. Potok, Jim N. Treadwell:
Genetic algorithm for analysis of abdominal aortic aneurysms in radiology reports.
1931-1936
Optimization by building and using probabilistic models (OBUPM-2010)
- Petr Posik:
Stochastic local search in continuous domains: questions to be answered when designing a novel algorithm.
1937-1944
- Fernando G. Lobo, Cláudio F. Lima:
Towards automated selection of estimation of distribution algorithms.
1945-1952
- Dirk Thierens:
Linkage tree genetic algorithm: first results.
1953-1958
Theoretical aspects of evolutionary multiobjective optimization - current status and future trends
- Manuel López-Ibáñez, Thomas Stützle, Luis Paquete:
Graphical tools for the analysis of bi-objective optimization algorithms: [workshop on theoretical aspects of evolutionary multiobjective optimization].
1959-1962
- Michael Emmerich, André H. Deutz, Rui Li, Johannes W. Kruisselbrink:
Getting lost or getting trapped: on the effect of moves toincomparable points in multiobjective hillclimbing.
1963-1966
- Adriana Lara, Oliver Schütze, Carlos A. Coello Coello:
New challenges for memetic algorithms on continuous multi-objective problems.
1967-1970
- Oliver Schütze, Xavier Esquivel, Adriana Lara, Carlos A. Coello Coello:
Some comments on GD and IGD and relations to the Hausdorff distance.
1971-1974
- Thomas Voß, Tobias Friedrich, Karl Bringmann, Christian Igel:
Scaling up indicator-based MOEAs by approximating the least hypervolume contributor: a preliminary study.
1975-1978
- Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
A pareto-compliant surrogate approach for multiobjective optimization.
1979-1982
Symbolic regression workshop
Graduate student workshop
- Felix Dobslaw:
An experimental study on robust parameter settings.
1999-2002
- Ralph Evins:
Configuration of a genetic algorithm for multi-objective optimisation of solar gain to buildings.
2003-2006
- Jae-Woo Kim:
Evolutionary learning in networked multi-agent organizations.
2007-2010
- Adriana Lara, Carlos A. Coello Coello, Oliver Schütze:
Using gradient information for multi-objective problems in the evolutionary context.
2011-2014
- Aranildo Rodrigues Lima Junior, David Augusto Silva, Paulo Salgado Mattos Neto, Tiago A. E. Ferreira:
An experimental study of fitness function and time series forecasting using artificial neural networks.
2015-2018
- Affiani Machmudah, Setyamartana Parman, Azman Zainuddin:
UAV bezier curve maneuver planning using genetic algorithm.
2019-2022
- Raja Muhammad Asif Zahoor, Junaid Ali Khan, Ijaz Mansoor Qureshi:
Heuristic computational approach using swarm intelligence in solving fractional differential equations.
2023-2026
- Thanh-Do Tran, Gang-Gyoo Jin:
Evolving solutions in evolutionary optimization based on a dynamic system model.
2027-2030
- Saúl Zapotecas Martínez, Carlos A. Coello Coello:
A novel diversification strategy for multi-objective evolutionary algorithms.
2031-2034
- Zack Z. Zhu:
Constraint handling with modified hypervolume indicator for multi-objective optimization problems.
2035-2038
Undergraduate student workshop
Late breaking abstracts
- Adrian Agogino:
Component evolution for large scale air traffic optimization.
2059-2060
- Eun Yeong Ahn, Tracy Mullen, John Yen:
Finding feature transformation functions using genetic algorithm.
2061-2062
- Yoseph Tafesse Azene, Rajkumar Roy:
Multi-stage, multi-objective process optimisation.
2063-2064
- André Ferry Barreira, Carlos Eduardo de Jesus Guimarães Oliveira, Otávio Noura Teixeira, Roberto Célio Limão de Oliveira:
Evolutionary artificial immune system optimization.
2065-2066
- Kan-Leung Cheng, Inon Zuckerman, Ugur Kuter, Dana S. Nau:
Emergence of cooperative societies in evolutionary games.
2067-2068
- Omid David-Tabibi, Nathan S. Netanyahu, Yoav Rosenberg, Moshe Shimoni:
Genetic algorithms for automatic classification of moving objects.
2069-2070
- Oliver Flasch, Olaf Mersmann, Thomas Bartz-Beielstein:
RGP: an open source genetic programming system for the R environment.
2071-2072
- Sayan Ghosh, Swagatam Das, Sanjoy Das:
On the asymptotic convergence of differential evolution in continuous spaces: a control theoretic approach.
2073-2074
- Arnob Ghosh, Aritra Chowdhury, Ritwik Giri, Swagatam Das, Sanjoy Das:
A fitness-based adaptation scheme for control parameters in differential evolution.
2075-2076
- Kyle Ira Harrington, Jordan B. Pollack:
Robot phylogenetics.
2077-2078
- Manar I. Hosny, Christine L. Mumford:
An adaptive hybrid VNS/SA approach to the one-commodity pickup and delivery problem.
2079-2080
- Haigen Hu, Lihong Xu, Erik D. Goodman:
A control optimization algorithm for greenhouse climate control problems.
2081-2082
- John Hurley:
LESR CLASS: an LCS for securities trading rulesets.
2083-2084
- Ilknur Icke, Andrew Rosenberg:
Dimensionality reduction using symbolic regression.
2085-2086
- Serban Iordache:
Consultant-guided search combined with local search for the traveling salesman problem.
2087-2088
- Serban Iordache:
Consultant-guided search algorithms for the quadratic assignment problem.
2089-2090
- Steven Orla Kimbrough, David Harlan Wood:
Randomized interpolation: a crossover operator producing children at a constraint transition.
2091-2092
- Sisir Koppaka, Ashish Ranjan Hota:
Superior exploration-exploitation balance with quantum-inspired hadamard walks.
2093-2094
- James Kukunas, Robert D. Cupper, Gregory M. Kapfhammer:
A genetic algorithm to improve linux kernel performance on resource-constrained devices.
2095-2096
- Rui Li, Michel R. V. Chaudron, René C. Ladan:
Towards automated software architectures design using model transformations and evolutionary algorithms.
2097-2098
- Mitsukuni Matayoshi:
Corner junction: a new strategy for 2d strip packing.
2099-2100
- Ryan J. Meuth:
Meta-learning genetic programming.
2101-2102
- José Parra Galaviz, Leonardo Trujillo, Patricia Melin:
Backpropagation learning with a (1+1) ES.
2103-2104
- Paulo Parracho, Rui Ferreira Neves, Nuno Horta:
Trading in financial markets using pattern recognition optimized by genetic algorithms.
2105-2106
- Marcin L. Pilat, Irene Pestov:
Evolutionary computation on complex spatially-distributed networks.
2107-2108
- Hari Prasain, Parimala Thulasiraman, Ruppa K. Thulasiram, Girish K. Jha:
Particle swarm optimization algorithm for option pricing: extended abstract.
2109-2110
- Yuji Sato, Hazuki Inoue:
Genetic operations to solve sudoku puzzles.
2111-2112
- Otávio Noura Teixeira, Felipe Houat de Brito, Walter Avelino da Luz Lobato, Artur Noura Teixeira, Carlos Takeshi Kudo Yasojima, Roberto Célio Limão de Oliveira:
Fuzzy social interaction genetic algorithm.
2113-2114
- Thanh-Do Tran, Gang-Gyoo Jin:
Genetic algorithm with multi-colony dynamic reproduction.
2115-2116
- Philip Valencia, Raja Jurdak, Peter Lindsay:
Fitness importance for online evolution.
2117-2118
- Zachary D. Williams, Gregory M. Kapfhammer:
Using synthetic test suites to empirically compare search-based and greedy prioritizers.
2119-2120
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