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GECCO 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
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
Benchmarking CMA-EGS on the BBOB 2010 noiseless function testbed. 1633-1640 - Steffen Finck
Benchmarking CMA-EGS on the BBOB 2010 noisy function testbed. 1641-1648 - Antonio LaTorre
Benchmarking a MOS-based algorithm on the BBOB-2010 noiseless function testbed. 1649-1656 - Steffen Finck
Benchmarking SPSA on BBOB-2010 noiseless function testbed. 1657-1664 - Steffen Finck
Benchmarking SPSA on BBOB-2010 noisy function testbed. 1665-1672 - Nikolaus Hansen
Benchmarking a weighted negative covariance matrix update on the BBOB-2010 noiseless testbed. 1673-1680 - Nikolaus Hansen
Benchmarking a weighted negative covariance matrix update on the BBOB-2010 noisy testbed. 1681-1688 - Nikolaus Hansen
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
Benchmarking a MOS-based algorithm on the BBOB-2010 noisy function testbed. 1725-1730 - Thanh-Do Tran
Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed. 1731-1738 - Thanh-Do Tran
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
Emergence of cooperative societies in evolutionary games. 1793-1800 - Chao Yang, Setsuya Kurahashi
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
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
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
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
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
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
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
New challenges for memetic algorithms on continuous multi-objective problems. 1967-1970 - Oliver Schütze
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
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
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
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
UAV bezier curve maneuver planning using genetic algorithm. 2019-2022 - Raja Muhammad Asif Zahoor
Heuristic computational approach using swarm intelligence in solving fractional differential equations. 2023-2026 - Thanh-Do Tran
Evolving solutions in evolutionary optimization based on a dynamic system model. 2027-2030 - Saúl Zapotecas Martínez
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
Evolutionary artificial immune system optimization. 2065-2066 - Kan-Leung Cheng, Inon Zuckerman
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
On the asymptotic convergence of differential evolution in continuous spaces: a control theoretic approach. 2073-2074 - Arnob Ghosh, Aritra Chowdhury, Ritwik Giri, Swagatam 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
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
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
Backpropagation learning with a (1+1) ES. 2103-2104 - Paulo Parracho, Rui Ferreira Neves
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
Genetic operations to solve sudoku puzzles. 2111-2112 - Otávio Noura Teixeira
Fuzzy social interaction genetic algorithm. 2113-2114 - Thanh-Do Tran
Genetic algorithm with multi-colony dynamic reproduction. 2115-2116 - Philip Valencia, Raja Jurdak
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
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
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
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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