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ORCIDGECCO 2010: Portland, Oregon, USA - Companion Material
- Martin Pelikan, Jürgen Branke:
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 Sánchez:
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 Sánchez:
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
- Terence Soule, Robert B. Heckendorn:
A developmental approach to evolving scalable hierarchies for multi-agent swarms. 1769-1776 - Rhonda Hoenigman, Elizabeth Bradley, Nichole Barger:
AgentScapes: designing water efficient landscapes using distributed agent-based optimization. 1777-1784 - Justin T. H. Smith:
Implicit fitness and heterogeneous preferences in the genetic algorithm. 1785-1792 - Kan-Leung Cheng, Inon Zuckerman, Ugur Kuter, Dana S. Nau:
Emergence of cooperative societies in evolutionary games. 1793-1800 - Chao Yang, Setsuya Kurahashi, Isao Ono, Takao Terano:
Pattern-oriented inverse simulation for agent-based modeling: an analysis of family strategies. 1801-1808 - Emily M. Zechman:
Integrating complex adaptive system simulation and evolutionary computation to support water infrastructure threat management. 1809-1816
Evolutionary computation techniques for constraint handling
- Amy FitzGerald, Diarmuid P. O'Donoghue:
Biologically inspired non-mendelian repair for constraint handling in evolutionary algorithms. 1817-1824 - Madalina Raschip, Henri Luchian:
Using messy genetic algorithms for solving the winner determination problem. 1825-1832 - Steven O. Kimbrough, Ann Kuo, Hoong Chuin Lau:
On decision support for deliberating with constraints in constrained optimization models. 1833-1840
Entropy, information and complexity
- Russ Abbott:
From energy to information and back. 1841-1842 - John Milton, Paul J. Kennedy:
Entropy profiles of ranked and random populations. 1843-1850 - Stuart W. Card:
Information distance based fitness and diversity metrics. 1851-1854
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, Luís 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
- Randall K. McRee:
Symbolic regression using nearest neighbor indexing. 1983-1990 - Pawel Widera, Jaume Bacardit, Natalio Krasnogor, Carlos García-Martínez, Manuel Lozano:
Evolutionary symbolic discovery for bioinformatics, systems and synthetic biology. 1991-1998
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 Gomes de 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
- Shawn Aldridge, Michael R. Peterson, Britny Herzog:
Image sets for the training of image processing systems. 2039-2042 - Brendan J. Babb:
Can evolved forward transforms do better than wavelets. 2043-2046 - John M. Crofford:
Is the triple parameter hypothesis generalizable. 2047-2050 - Harikrishna Narasimhan, Sanjeev Satheesh, Dinesh Sriram:
Automatic summarization of cricket video events using genetic algorithm. 2051-2054 - Oleg Parinov:
The implementation and improvements of genetic algorithm for job-shop scheduling problems. 2055-2058
Late breaking abstracts
- Adrian K. 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 Ibrahim 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
Introductory tutorials
- Erik D. Goodman:
Introduction to genetic algorithms. 2121-2136 - John R. Koza:
Introduction to genetic programming tutorial: from the basics to human-competitive results. 2137-2262 - Thomas Bäck:
Evolution strategies: basic introduction. 2263-2288 - Kenneth A. De Jong:
Evolutionary computation: a unified approach. 2289-2302 - Martin Pelikan:
Probabilistic model-building genetic algorithms. 2303-2330 - Martin V. Butz:
Learning classifier systems. 2331-2352 - Manuel López-Ibáñez:
Ant colony optimization. 2353-2384 - Conor Ryan:
Grammatical evolution tutorial. 2385-2412 - Mark Wineberg, Steffen Christensen:
Statistical analysis for evolutionary computation: introduction. 2413-2440 - Risto Miikkulainen:
Evolving neural networks. 2441-2460 - Christopher D. Clack:
Financial evolutionary computing. 2461-2472
Advanced tutorials
- Riccardo Poli:
Genetic programming theory. 2473-2502 - Jason H. Moore:
Bioinformatics. 2503-2534 - Franz Rothlauf:
Representations for evolutionary algorithms. 2535-2556 - Tobias Friedrich, Frank Neumann:
Foundations of evolutionary multi-objective optimization. 2557-2576 - Kalyanmoy Deb:
Evolutionary multi-criterion optimization. 2577-2602 - Carlos A. Coello Coello:
Constraint-handling techniques used with evolutionary algorithms. 2603-2624 - Thomas Bartz-Beielstein, Mike Preuss:
Tuning and experimental analysis in evolutionary computation: what we still have wrong. 2625-2646 - Michael D. Vose:
Course notes: genetic algorithm theory. 2647-2660 - Mark Wineberg, Steffen Christensen:
Statistical analysis for evolutionary computation: advanced techniques. 2661-2682 - Thomas Jansen, Frank Neumann:
Computational complexity and evolutionary computation. 2683-2710
Specialized techniques and applications tutorials
- Leonardo Vanneschi:
Fitness landscapes and problem hardness in genetic programming. 2711-2738 - Lee Spector:
Evolution of quantum algorithms. 2739-2768 - Sara Silva:
Handling bloat in GP. 2769-2794 - Carsten Witt:
Theory of randomised search heuristics in combinatorial optimisation. 2795-2840 - Kenneth O. Stanley:
Generative and developmental systems. 2841-2862 - Mark E. Kotanchek:
Real-world data modeling. 2863-2896 - Thomas Bäck, Joshua D. Knowles, Ofer M. Shir:
Experimental optimization by evolutionary algorithms. 2897-2916 - Benjamin E. Beckmann, Jeff Clune, Charles Ofria:
Digital evolution with avida. 2917-2926 - Julian Francis Miller, Simon L. Harding:
Cartesian genetic programming. 2927-2948
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