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ORCIDGECCO 2003: Chicago, IL, USA
- Erick Cantú-Paz, James A. Foster, Kalyanmoy Deb, Lawrence Davis, Rajkumar Roy, Una-May O'Reilly, Hans-Georg Beyer, Russell K. Standish
, Graham Kendall, Stewart W. Wilson, Mark Harman, Joachim Wegener, Dipankar Dasgupta, Mitchell A. Potter, Alan C. Schultz, Kathryn A. Dowsland, Natasa Jonoska, Julian F. Miller:
Genetic and Evolutionary Computation - GECCO 2003, Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003. Proceedings, Part II. Lecture Notes in Computer Science 2724, Springer 2003, ISBN 3-540-40603-4
Genetic Algorithms (continued)
- Jiri Ocenasek, Josef Schwarz, Martin Pelikan:
Design of Multithreaded Estimation of Distribution Algorithms. 1247-1258 - Topon Kumar Paul, Hitoshi Iba:
Reinforcement Learning Estimation of Distribution Algorithm. 1259-1270 - Martin Pelikan, David E. Goldberg:
Hierarchical BOA Solves Ising Spin Glasses and MAXSAT. 1271-1282 - Eduardo Rodriguez-Tello, Jose Torres-Jimenez:
ERA: An Algorithm for Reducing the Epistasis of SAT Problems. 1283-1294 - Peter Ross, Javier G. Marín-Blázquez, Sonia Schulenburg, Emma Hart:
Learning a Procedure That Can Solve Hard Bin-Packing Problems: A New GA-Based Approach to Hyper-heuristics. 1295-1306 - Franz Rothlauf:
Population Sizing for the Redundant Trivial Voting Mapping. 1307-1319 - Conor Ryan, J. J. Collins, David Wallin:
Non-stationary Function Optimization Using Polygenic Inheritance. 1320-1331 - Kumara Sastry, David E. Goldberg:
Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage. 1332-1344 - Dong-il Seo, Yong-Hyuk Kim, Byung Ro Moon:
New Entropy-Based Measures of Gene Significance and Epistasis. 1345-1356 - Dong-il Seo, Byung Ro Moon:
A Survey on Chromosomal Structures and Operators for Exploiting Topological Linkages of Genes. 1357-1368 - Franciszek Seredynski, Pascal Bouvry, Albert Y. Zomaya:
Cellular Programming and Symmetric Key Cryptography Systems. 1369-1381 - Robert E. Smith, Claudio Bonacina:
Mating Restriction and Niching Pressure: Results from Agents and Implications for General EC. 1382-1393 - Christopher R. Stephens, Adolfo Zamora:
EC Theory: A Unified Viewpoint. 1394-1405 - Tobias Storch, Ingo Wegener:
Real Royal Road Functions for Constant Population Size. 1406-1417 - Matthew J. Streeter:
Two Broad Classes of Functions for Which a No Free Lunch Result Does Not Hold. 1418-1430 - Alexander P. Topchy, William F. Punch:
Dimensionality Reduction via Genetic Value Clustering. 1431-1443 - Marc Toussaint:
The Structure of Evolutionary Exploration: On Crossover, Buildings Blocks, and Estimation-Of-Distribution Algorithms. 1444-1456 - Manuel Valenzuela-Rendón:
The Virtual Gene Genetic Algorithm. 1457-1468 - L. Darrell Whitley, Deon Garrett, Jean-Paul Watson:
Quad Search and Hybrid Genetic Algorithms. 1469-1480 - Mark Wineberg, Franz Oppacher:
Distance between Populations. 1481-1492 - Mark Wineberg, Franz Oppacher:
The Underlying Similarity of Diversity Measures Used in Evolutionary Computation. 1493-1504 - Alden H. Wright, Michael D. Vose, Jonathan E. Rowe:
Implicit Parallelism. 1505-1517 - Danica Wyatt, Hod Lipson:
Finding Building Blocks through Eigenstructure Adaptation. 1518-1529 - Ningchuan Xiao, Marc P. Armstrong:
A Specialized Island Model and Its Application in Multiobjective Optimization. 1530-1540 - Han Yu, Annie S. Wu, Kuo-Chi Lin, Guy A. Schiavone:
Adaptation of Length in a Nonstationary Environment. 1541-1553 - Tian-Li Yu, David E. Goldberg, Kumara Sastry:
Optimal Sampling and Speed-Up for Genetic Algorithms on the Sampled OneMax Problem. 1554-1565 - Chatchawit Aporntewan, Prabhas Chongstitvatana:
Building-Block Identification by Simultaneity Matrix. 1566-1567 - Jürgen Branke, Michael Stein, Hartmut Schmeck:
A Unified Framework for Metaheuristics. 1568-1569 - Vincenzo Cutello, Francesco Pappalardo:
The Hitting Set Problem and Evolutionary Algorithmic Techniques with ad-hoc Viruses (HEAT-V). 1570-1571 - Grant Dick:
The Spatially-Dispersed Genetic Algorithm. 1572-1573 - Federico Divina, Maarten Keijzer, Elena Marchiori:
Non-universal Suffrage Selection Operators Favor Population Diversity in Genetic Algorithms. 1574-1575 - Stephen David Drake:
Uniform Crossover Revisited: Maximum Disruption in Real-Coded GAs. 1576-1577 - Christian Gagné, Marc Parizeau, Marc Dubreuil:
The Master-Slave Architecture for Evolutionary Computations Revisited. 1578-1579
Genetic Algorithms - Posters
- Jonatan Gómez, Dipankar Dasgupta, Fabio A. González:
Using Adaptive Operators in Genetic Search. 1580-1581 - William A. Greene:
A Kernighan-Lin Local Improvement Heuristic That Solves Some Hard Problems in Genetic Algorithms. 1582-1583 - Haipeng Guo, William H. Hsu:
GA-Hardness Revisited. 1584-1585 - Jonathan Hallam, Adam Prügel-Bennett:
Barrier Trees For Search Analysis. 1586-1587 - Gregory A. Holifield, Annie S. Wu:
A Genetic Algorithm as a Learning Method Based on Geometric Representations. 1588-1589 - Tom Kalisker, Doug Camens:
Solving Mastermind Using Genetic Algorithms. 1590-1591 - Rajeev Kumar, Peter I. Rockett:
Evolutionary Multimodal Optimization Revisited. 1592-1593 - Andrew Lim, Brian Rodrigues, Fei Xiao:
Integrated Genetic Algorithm with Hill Climbing for Bandwidth Minimization Problem. 1594-1595 - Andrew Lim, Zhou Xu:
A Fixed-Length Subset Genetic Algorithm for the p-Median Problem. 1596-1597 - Shouichi Matsui, Isamu Watanabe, Ken-ichi Tokoro:
Performance Evaluation of a Parameter-Free Genetic Algorithm for Job-Shop Scheduling Problems. 1598-1599 - Paulito P. Palmes, Taichi Hayasaka, Shiro Usui:
SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks. 1600-1601 - Sung-Joon Park, Masayuki Yamamura:
Real-Coded Genetic Algorithm to Reveal Biological Significant Sites of Remotely Homologous Proteins. 1602-1603 - Elena Popovici, Kenneth A. De Jong:
Understanding EA Dynamics via Population Fitness Distributions. 1604-1605 - Oliver Ritthoff, Ralf Klinkenberg:
Evolutionary Feature Space Transformation Using Type-Restricted Generators. 1606-1607 - Franz Rothlauf:
On the Locality of Representations. 1608-1609 - Sang-Moon Soak, Byung-Ha Ahn:
New Subtour-Based Crossover Operator for the TSP. 1610-1611 - Jason Teo, Hussein A. Abbass:
Is a Self-Adaptive Pareto Approach Beneficial for Controlling Embodied Virtual Robots? 1612-1613 - Lirong Tian, Tughrul Arslan:
A Genetic Algorithm for Energy Efficient Device Scheduling in Real-Time Systems. 1614-1615 - Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama:
Metropolitan Area Network Design Using GA Based on Hierarchical Linkage Identification. 1616-1617 - Shengxiang Yang:
Statistics-Based Adaptive Non-uniform Mutation for Genetic Algorithms. 1618-1619 - Tian-Li Yu, David E. Goldberg, Ali Yassine, Ying-Ping Chen:
Genetic Algorithm Design Inspired by Organizational Theory: Pilot Study of a Dependency Structure Matrix Driven Genetic Algorithm. 1620-1621 - Emily M. Zechman, S. Ranji Ranjithan:
Are the "Best" Solutions to a Real Optimization Problem Always Found in the Noninferior Set? Evolutionary Algorithm for Generating Alternatives (EAGA). 1622-1623 - Jian Zhang, Xiaohui Yuan, Bill P. Buckles:
Population Sizing Based on Landscape Feature. 1624-1625
Genetic Programming
- R. Muhammad Atif Azad, Conor Ryan:
Structural Emergence with Order Independent Representations. 1626-1638 - Jason M. Daida, Adam M. Hilss:
Identifying Structural Mechanisms in Standard Genetic Programming. 1639-1651 - Jason M. Daida, Adam M. Hilss, David J. Ward, Stephen L. Long:
Visualizing Tree Structures in Genetic Programming. 1652-1664 - Jason M. Daida, Hsiaolei Li, Ricky Tang, Adam M. Hilss:
What Makes a Problem GP-Hard? Validating a Hypothesis of Structural Causes. 1665-1677 - Gregory Hornby:
Generative Representations for Evolving Families of Designs. 1678-1689 - Daniel Howard, Karl Benson:
Evolutionary Computation Method for Promoter Site Prediction in DNA. 1690-1701 - William B. Langdon:
Convergence of Program Fitness Landscapes. 1702-1714 - Hongwei Liu, Hitoshi Iba:
Multi-agent Learning of Heterogeneous Robots by Evolutionary Subsumption. 1715-1718 - Sean Luke, Gabriel Catalin Balan, Liviu Panait:
Population Implosion in Genetic Programming. 1729-1739 - Liviu Panait, Sean Luke:
Methods for Evolving Robust Programs. 1740-1751 - Conor Ryan, Maarten Keijzer, Miguel Nicolau:
On the Avoidance of Fruitless Wraps in Grammatical Evolution. 1752-1763 - Kisung Seo, Zhun Fan, Jianjun Hu, Erik D. Goodman, Ronald C. Rosenberg:
Dense and Switched Modular Primitives for Bond Graph Model Design. 1764-1775 - Sara Silva, Jonas S. Almeida:
Dynamic Maximum Tree Depth. 1776-1787 - Leonardo Vanneschi, Marco Tomassini, Manuel Clergue, Philippe Collard:
Difficulty of Unimodal and Multimodal Landscapes in Genetic Programming. 1788-1799
Genetic Programming - Posters
- Edmund K. Burke, Steven M. Gustafson, Graham Kendall:
Ramped Half-n-Half Initialisation Bias in GP. 1800-1801 - Sin Man Cheang, Kin-Hong Lee, Kwong-Sak Leung:
Improving Evolvability of Genetic Parallel Programming Using Dynamic Sample Weighting. 1802-1803 - Rodney Fry, Andrew M. Tyrrell:
Enhancing the Performance of GP Using an Ancestry-Based Mate Selection Scheme. 1804-1805 - Peter Galos, Peter Nordin, Joel Olsén:
Kristofer Sundén Ringnér, A General Approach to Automatic Programming Using Occam's Razor, Compression, and Self-Inspection. 1806-1807 - Yi Liu, Taghi M. Khoshgoftaar:
Building Decision Tree Software Quality Classification Models Using Genetic Programming. 1808-1809 - Holger Mauch:
Evolving Petri Nets with a Genetic Algorithm. 1810-1811 - Marco Tomassini, Leonardo Vanneschi, Francisco Fernández, Germán Galeano Gil:
Diversity in Multipopulation Genetic Programming. 1812-1813 - Kazuto Tominaga, Tomoya Suzuki, Kazuhiro Oka:
An Encoding Scheme for Generating lambda-Expressions in Genetic Programming. 1814-1815 - Hiromi Wakaki, Hitoshi Iba:
AVICE: Evolving Avatar's Movernent. 1816-1817
Learning Classifier Systems
- Jaume Bacardit, Josep Maria Garrell i Guiu:
Evolving Multiple Discretizations with Adaptive Intervals for a Pittsburgh Rule-Based Learning Classifier System. 1818-1831 - Alwyn Barry:
Limits in Long Path Learning with XCS. 1832-1843 - Martin V. Butz, David E. Goldberg:
Bounding the Population Size in XCS to Ensure Reproductive Opportunities. 1844-1856 - Martin V. Butz, Kumara Sastry, David E. Goldberg:
Tournament Selection: Stable Fitness Pressure in XCS. 1857-1869 - Devon Dawson:
Improving Performance in Size-Constrained Extended Classifier Systems. 1870-1881 - Pierre Gérard, Olivier Sigaud:
Designing Efficient Exploration with MACS: Modules and Function Approximation. 1882-1893 - Pier Luca Lanzi:
Estimating Classifier Generalization and Action's Effect: A Minimalist Approach. 1894-1905 - Kurian K. Tharakunnel, Martin V. Butz, David E. Goldberg:
Towards Building Block Propagation in XCS: A Negative Result and Its Implications. 1906-1917
Learning Classifier Systems - Posters
- Sin Man Cheang, Kin-Hong Lee, Kwong-Sak Leung:
Data Classification Using Genetic Parallel Programming. 1918-1919 - William Joseph Falke II, Peter Ross:
Dynamic Strategies in a Real-Time Strategy Game. 1920-1921 - Pier Luca Lanzi:
Using Raw Accuracy to Estimate Classifier Fitness in XCS. 1922-1923 - Christopher Stone, Larry Bull:
Towards Learning Classifier Systems for Continuous-Valued Online Environments. 1924-1925
Real World Applications
- Shin Ando, Hitoshi Iba:
Artificial Immune System for Classification of Gene Expression Data. 1926-1937 - Plamen P. Angelov, Y. Zhang, Jonathan A. Wright, V. I. Hanby, Richard A. Buswell:
Automatic Design Synthesis and Optimization of Component-Based Systems by Evolutionary Algorithms. 1938-1950 - Lourdes Araujo:
Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging. 1951-1962 - Thomas Beielstein, Claus-Peter Ewald, Sandor Markon:
Optimal Elevator Group Control by Evolution Strategies. 1963-1974 - Flor A. Castillo, Ken A. Marshall, James L. Green, Arthur K. Kordon:
A Methodology for Combining Symbolic Regression and Design of Experiments to Improve Empirical Model Building. 1975-1985 - Ping Chen, Zhaohui Fu, Andrew Lim, Brian Rodrigues:
The General Yard Allocation Problem. 1986-1997 - Sung-Soon Choi, Byung Ro Moon:
Connection Network and Optimization of Interest Metric for One-to-One Marketing. 1998-2009 - Yoon-Seok Choi, Byung Ro Moon:
Parameter Optimization by a Genetic Algorithm for a Pitch Tracking System. 2010-2021 - John A. Clark, Jeremy L. Jacob, Susan Stepney:
Secret Agents Leave Big Footprints: How to Plant a Cryptographic Trapdoor, and Why You Might Not Get Away with It. 2022-2033 - Clare Bates Congdon, Raymond H. Mazza:
GenTree: An Interactive Genetic Algorithms System for Designing 3D Polygonal Tree Models. 2034-2045 - Lionel Elliott, Derek B. Ingham, Adrian G. Kyne, Nicolae S. Mera, Mohamed Pourkashanian, Christopher W. Wilson:
Optimisation of Reaction Mechanisms for Aviation Fuels Using a Multi-objective Genetic Algorithm. 2046-2057 - Zhun Fan, Kisung Seo, Jianjun Hu, Ronald C. Rosenberg, Erik D. Goodman:
System-Level Synthesis of MEMS via Genetic Programming and Bond Graphs. 2058-2071 - Sean L. Forman, Yading Yue:
Congressional Districting Using a TSP-Based Genetic Algorithm. 2072-2083 - Faustino J. Gomez, Risto Miikkulainen:
Active Guidance for a Finless Rocket Using Neuroevolution. 2084-2095 - Karim Hamza, Juan F. Reyes-Luna, Kazuhiro Saitou:
Simultaneous Assembly Planning and Assembly System Design Using Multi-objective Genetic Algorithms. 2096-2108 - José Ignacio Hidalgo, Francisco Fernández, Juan Lanchares, Juan Manuel Sánchez-Pérez, Román Hermida, Marco Tomassini, Ranieri Baraglia, Raffaele Perego, Oscar Garnica:
Multi-FPGA Systems Synthesis by Means of Evolutionary Computation. 2109-2120 - Zhijian Huang, Min Pei, Erik D. Goodman, Yong Huang, Gaoping Li:
Genetic Algorithm Optimized Feature Transformation - A Comparison with Different Classifiers. 2121-2133 - Manabu Ichikawa, Kiyoshi Tanaka, Shoji Kondo, Koji Hiroshima, Kazuo Ichikawa, Shoko Tanabe, Kiichiro Fukami:
Web-Page Color Modification for Barrier-Free Color Vision with Genetic Algorithm. 2134-2146 - Jun-Su Jang, Kuk-Hyun Han, Jong-Hwan Kim:
Quantum-Inspired Evolutionary Algorithm-Based Face Verification. 2147-2156 - Charles L. Karr, Rodney Bowersox, Vishnu Singh:
Minimization of Sonic Boom on Supersonic Aircraft Using an Evolutionary Algorithm. 2157-2167 - Yong-Hyuk Kim, Seung-Kyu Lee, Byung Ro Moon:
Optimizing the Order of Taxon Addition in Phylogenetic Tree Construction Using Genetic Algorithm. 2168-2178 - Rajeev Kumar, Nilanjan Banerjee:
Multicriteria Network Design Using Evolutionary Algorithm. 2179-2190 - Ngai Ming Kwok, Sam Kwong:
Control of a Flexible Manipulator Using a Sliding Mode Controller with Genetic Algorithm Tuned Manipulator Dimension. 2191-2202 - Yung-Keun Kwon, Byung Ro Moon:
Daily Stock Prediction Using Neuro-genetic Hybrids. 2203-2214 - Seung-Kyu Lee, Yong-Hyuk Kim, Byung Ro Moon:
Finding the Optimal Gene Order in Displaying Microarray Data. 2215-2226 - Yingqiang Lin, Bir Bhanu:
Learning Features for Object Recognition. 2227-2239 - Shouichi Matsui, Isamu Watanabe, Ken-ichi Tokoro:
An Efficient Hybrid Genetic Algorithm for a Fixed Channel Assignment Problem with Limited Bandwidth. 2240-2251 - Behrouz Minaei-Bidgoli, William F. Punch:
Using Genetic Algorithms for Data Mining Optimization in an Educational Web-Based System. 2252-2263 - Emi Myodo, Hernán E. Aguirre, Kiyoshi Tanaka:
Improved Image Halftoning Technique Using GAs with Concurrent Inter-block Evaluation. 2264-2276 - David M. Reif, Bill C. White, Nancy Olsen, Thomas M. Aune, Jason H. Moore:
Complex Function Sets Improve Symbolic Discriminant Analysis of Microarray Data. 2277-2287 - Shusuke Saeki, Kiyoshi Asai, Katsutoshi Takahashi, Yutaka Ueno, Katsunori Isono, Hitoshi Iba:
GA-Based Inference of Euler Angles for Single Particle Analysis. 2288-2300 - Ioannis A. Sarafis, Philip W. Trinder, Ali M. S. Zalzala:
Mining Comprehensible Clustering Rules with an Evolutionary Algorithm. 2301-2312 - Conrad Shyu, James A. Foster:
Evolving Consensus Sequence for Multiple Sequence Alignment with a Genetic Algorithm. 2313-2324 - Dong Song, Malcolm I. Heywood, Nur Zincir-Heywood:
A Linear Genetic Programming Approach to Intrusion Detection. 2325-2336 - Masaru Tezuka, Masahiro Hiji:
Genetic Algorithm for Supply Planning Optimization under Uncertain Demand. 2337-2346 - Siu Shing Tong, David J. Powell:
Genetic Algorithms: A Fundamental Component of an Optimization Toolkit for Improved Engineering Designs. 2347-2359 - Allan Tucker, Xiaohui Liu, David Garway-Heath:
Spatial Operators for Evolving Dynamic Bayesian Networks from Spatio-temporal Data. 2360-2371 - Jinn-Moon Yang:
An Evolutionary Approach for Molecular Docking. 2372-2383 - Ayse S. Yilmaz, Brian N. McQuay, Han Yu, Annie S. Wu, John C. Sciortino Jr.:
Evolving Sensor Suites for Enemy Radar Detection. 2384-2395
Real World Applications - Posters
- H. W. Chong, Sam Kwong:
Optimization of Spare Capacity in Survivable WDM Networks. 2396-2397 - Marco Fischer, Hendrik Jähn, Tobias Teich:
Partner Selection in Virtual Enterprises by Using Ant Colony Optimization in Combination with the Analytical Hierarchy Process. 2398-2399 - Mike Holder, Charles L. Karr:
Quadrilateral Mesh Smoothing Using a Steady State Genetic Algorithm. 2400-2401 - Bryant A. Julstrom:
Evolutionary Algorithms for Two Problems from the Calculus of Variations. 2402-2403 - Charles L. Karr, Douglas A. Scott:
Genetic Algorithm Frequency Domain Optimization of an Anti-Resonant Electromechanical Controller. 2404-2405 - Charles L. Karr, Eric L. Wilson, Sherri L. Messimer:
Genetic Algorithm Optimization of a Filament Winding Process. 2406-2407 - Jong-Pil Kim, Byung Ro Moon:
Circuit Bipartitioning Using Genetic Algorithm. 2408-2409 - Yong-Hyuk Kim, Byung Ro Moon:
Multi-campaign Assignment Problem and Optimizing Lagrange Multipliers. 2410-2411 - Jason H. Moore, Lance W. Hahn:
Grammatical Evolution for the Discovery of Petri Net Models of Complex Genetic Systems. 2412-2413 - James Northern III, Michael A. Shanblatt:
Evaluation of Parameter Sensitivity for Portable Embedded Systems through Evolutionary Techniques. 2414-2415 - Anne L. Olsen:
An Evolutionary Algorithm for the Joint Replenishment of Inventory with Interdependent Ordering Costs. 2416-2417 - Anne M. Raich, Tamás Liszkai:
Benefits of Implicit Redundant Genetic Algorithms for Structural Damage Detection in Noisy Environments. 2418-2419 - Dazhi Sun, Rahim F. Benekohal, S. Travis Waller:
Multi-objective Traffic Signal Timing Optimization Using Non-dominated Sorting Genetic Algorithm II. 2420-2421 - T. Q. S. Truong, A. Stacey:
Exploration of a Two Sided Rendezvous Search Problem Using Genetic Algorithms. 2422-2423 - Jeff Wallace, Sushil J. Louis:
Taming a Flood with a T-CUP - Designing Flood-Control Structures with a Genetic Algorithm. 2424-2425 - Seung-Jin Yang, Yong-Geon Kim, Yung-Keun Kwon, Byung Ro Moon:
Assignment Copy Detection Using Neuro-genetic Hybrids. 2426-2427
Search Based Software Engineering
- André Baresel, Hartmut Pohlheim, Sadegh Sadeghipour:
Structural and Functional Sequence Test of Dynamic and State-Based Software with Evolutionary Algorithms. 2428-2441 - André Baresel, Harmen Sthamer:
Evolutionary Testing of Flag Conditions. 2442-2454 - Leonardo Bottaci:
Predicate Expression Cost Functions to Guide Evolutionary Search for Test Data. 2455-2464 - Karl Doerner, Walter J. Gutjahr:
Extracting Test Sequences from a Markov Software Usage Model by ACO. 2465-2476 - Martin Lefley, Martin J. Shepperd:
Using Genetic Programming to Improve Software Effort Estimation Based on General Data Sets. 2477-2487 - Phil McMinn, Mike Holcombe:
The State Problem for Evolutionary Testing. 2488-2498 - Brian S. Mitchell, Spiros Mancoridis:
Modeling the Search Landscape of Metaheuristic Software Clustering Algorithms. 2499-2510
Search Based Software Engineering - Posters
- Deji Fatiregun, Mark Harman, Robert M. Hierons:
Search Based Transformations. 2511-2512 - Kiarash Mahdavi, Mark Harman, Robert M. Hierons:
Finding Building Blocks for Software Clustering. 2513-2514
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