GECCO 2007: London, UK - Companion Material
Dirk Thierens (Ed.): Genetic and Evolutionary Computation Conference, GECCO 2007, Proceedings, London, England, UK, July 7-11, 2007, Companion Material. ACM 2007 ISBN 978-1-59593-698-1
Late-breaking papers
- Maumita Bhattacharya: Expensive optimization, uncertain environment: an EA-based solution. 2407-2414
- Alexander E. I. Brownlee, John A. W. McCall, Deryck F. Brown: Solving the MAXSAT problem using a multivariate EDA based on Markov networks. 2423-2428
- Emma Byrne: Optimising the flow of experiments to a robot scientist with multi-objective evolutionary algorithms. 2429-2436
- Folkert de Boer, Paulien Hogeweg: The role of speciation in spatial coevolutionary function approximation. 2437-2441
- Laura Diosan, Mihai Oltean: Evolving evolutionary algorithms using evolutionary algorithms. 2442-2449
- Steve R. DiPaola, Liane Gabora: Incorporating characteristics of human creativity into an evolutionary art algorithm. 2450-2456
- Anikó Ekárt: Evolution of lace knitting stitch patterns by genetic programming. 2457-2461
- Mostafa Mostafa Hashim Ellabaan: Activation energy-based simulation for self-assembly of multi-shape tiles. 2462-2467
- Arthur M. Farley: Choice and development. 2468-2474
- Fatima Zohra Hadjam, Claudio Moraga, Mohamed Benmohamed: Cluster-based evolutionary design of digital circuits using all improved multi-expression programming. 2475-2482
- James A. Hilder, Andy M. Tyrrell: An evolutionary platform for developing next-generation electronic circuits. 2483-2488
- Manar I. Hosny, Christine L. Mumford: Single vehicle pickup and delivery with time windows: made to measure genetic encoding and operators. 2489-2496
- David Iclanzan: Crossover: the divine afflatus in search. 2497-2502
- Cezary Z. Janikow: Evolving problem heuristics with on-line ACGP. 2503-2508
- Alp Emre Kanlikilicer, Ali Keles, Sima Uyar: Experimental analysis of binary differential evolution in dynamic environments. 2509-2514
- Saheeb Ahmed Kayani, Muhammad Afzaal Malik: Combining bond-graphs with genetic programming for unified/automated design of mechatronic or multi domain dynamic systems. 2515-2518
- Yaser M. A. Khalifa, Badar K. Khan, Jasmin Begovic, Airrion Wisdom, Andrew Maxymillian Wheeler: Evolutionary music composer integrating formal grammar. 2519-2526
- Yaser M. A. Khalifa, Badar K. Khan, Faisal Taha: Multi-objective optimization tool for a free structure analog circuits design using genetic algorithms and incorporating parasitics. 2527-2534
- Gul Muhammad Khan, Julian F. Miller, David M. Halliday: A developmental model of neural computation using cartesian genetic programming. 2535-2542
- Susan Khor: On solving hierarchical problems with top down control. 2543-2548
- Steven Manos, Maryanne Large, Leon Poladian: Evolutionary design of single-mode microstructured polymer optical fibres using an artificial embryogeny representation. 2549-2556
- Joshua L. Payne, Margaret J. Eppstein: Using pair approximations to predict takeover dynamics in spatially structured populations. 2557-2564
- Esteban Ricalde, Katya Rodríguez-Vázquez: A GP neutral function for the artificial ANT problem. 2565-2571
- Alena Shmygelska: An extremal optimization search method for the protein folding problem: the go-model example. 2572-2579
- Julio J. Valdés, Alan J. Barton: Computational intelligence techniques: a study of scleroderma skin disease. 2580-2587
- Zheng Yin, Anthony Brabazon, Conall O'Sullivan: Adaptive genetic programming for option pricing. 2588-2594
Learning classifier systems
- Larry Bull: On lookahead and latent learning in simple LCS. 2633-2636
- Albert Orriols-Puig, Ester Bernadó-Mansilla, Kumara Sastry, David E. Goldberg: Substructrual surrogates for learning decomposable classification problems: implementation and first results. 2875-2882
- Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla: Fuzzy-UCS: preliminary results. 2871-2874
- Tim Kovacs, Larry Bull: Toward a better understanding of rule initialisation and deletion. 2777-2780
- Pier Luca Lanzi, Stefano Rocca, Stefania Solari: An approach to analyze the evolution of symbolic conditions in learning classifier systems. 2795-2800
- Nadine Richard, Samuel Tardieu, Seiji Yamada: Cascaded generic XCS to learn about reminding preferences. 2923-2926
- Robert Elliott Smith, Max Kun Jiang: MILCS: a mutual information learning classifier system. 2945-2952
- Sor Ying (Byron) Wong, Sonia Schulenburg: Portfolio allocation using XCS experts in technical analysis, market conditions and options market. 2965-2972
- James A. R. Marshall, Gavin Brown, Tim Kovacs: Bayesian estimation of rule accuracy in UCS. 2831-2834
- Will N. Browne, Charalambos Ioannides: Investigating scaling of an abstracted LCS utilising ternary and s-expression alphabets. 2759-2764
- Gregory Anthony Harrison, Eric W. Worden: Genetically programmed learning classifier system description and results. 2729-2736
Evolution of natural and artificial systems - metaphors and analogies in single and multi-objective problems
- Erwan Le Martelot, Peter J. Bentley, R. Beau Lotto: A systemic computation platform for the modelling and analysis of processes with natural characteristics. 2809-2816
- Michael Affenzeller, Stefan Wagner, Stephan M. Winkler: Aspects of adaptation in natural and artificial evolution. 2595-2602
- Hooman Shayani, Peter J. Bentley: A more bio-plausible approach to the evolutionary inference of finite state machines. 2937-2944
- Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg, Ligia B. Bagi: Transgenetic algorithm: a new evolutionary perspective for heuristics design. 2701-2708
- Tina Yu: Program evolvability under environmental variations and neutrality. 2973-2978
Evolutionary algorithms for dynamic optimization problems (EvoDOP)
- Rodica Ioana Lung, D. Dumitrescu: A new collaborative evolutionary-swarm optimization technique. 2817-2820
- Adam Campbell, Annie S. Wu: Learning and exploiting knowledge in multi-agent task allocation problems. 2637-2642
- Gemma Bel Enguix, Maria Dolores Jiménez-López: Agent-environment interaction in a multi-agent system: a formal model. 2607-2612
- Marcelo Souza Pita, Fernando Buarque de Lima Neto: Simulations of egoistic and altruistic behaviors using the vidya multiagent system platform. 2927-2932
User-centred evolutionary computing
- Azahar T. Machwe, Ian C. Parmee: Supporting free-form design using a component based representation: an overview. 2821-2824
- Amiram Moshaiov, Gideon Avigad: Concept-based multi-objective problems and their solution by EC. 2865-2868
- Denis Pallez, Philippe Collard, Thierry Baccino, Laurent Dumercy: Eye-tracking evolutionary algorithm to minimize user fatigue in IEC applied to interactive one-max problem. 2883-2886
- Alexandra Melike Brintrup, Hideyuki Takagi: The effect of user interaction mechanisms in multi-objective IGA. 2629-2632
- Mark R. N. Shackelford: Implementation issues for an interactive evolutionary computation system. 2933-2936
Second workshop on parallel bioinspired algorithms
- Juan Julián Merelo Guervós, Antonio Mora García, Juan Luís Jiménez Laredo, Juan Lupión, Fernando Tricas: Browser-based distributed evolutionary computation: performance and scaling behavior. 2851-2858
- Alexander Mendiburu, Roberto Santana, Jose Antonio Lozano, Endika Bengoetxea: A parallel framework for loopy belief propagation. 2843-2850
- José Ignacio Hidalgo, Juan Lanchares, Francisco Fernández de Vega, Daniel Lombraña Gonzalez: Is the island model fault tolerant? 2737-2744
- A. E. Eiben, Marc Schoenauer, Juan Luís Jiménez Laredo, Pedro A. Castillo Valdivieso, Antonio Miguel Mora, Juan J. Merelo Guervós: Exploring selection mechanisms for an agent-based distributed evolutionary algorithm. 2801-2808
Undergraduate student workshop
- Oana Muntean: Genetically designed heuristics for the bin packing problem. 2869-2870
- Ahmet Cetinkaya: Regular expression generation through grammatical evolution. 2643-2646
- Michael Henry Wolk: GAINS: genetic algorithms for increasing net sales of a mobile reverse demand communication system. 2961-2964
- Ali Keles: Binary differential evolution for the unit commitment problem. 2765-2768
- Thomas E. Cook: GAUGUIN: generating art using genetic algorithms and user input naturally. 2647-2650
- Kyle Ira Harrington: Predicting reactions from amino acid sequences in S. cerevisiae: an evolutionary computation approach. 2725-2728
Graduate student workshop
- Wei Pang, George Macleod Coghill: Modified clonal selection algorithm for learning qualitative compartmental models of metabolic systems. 2887-2894
- Mehdi Khoury, Frank Guerin, George Macleod Coghill: Learning dynamic models of compartment systems by combining symbolic regression with fuzzy vector envisionment. 2769-2776
- Daniel M. Ellin, Stuart J. Flockton: Analysing evolvable cell design for optimisation of routing options. 2687-2694
- Ricardo Landa Becerra, Carlos A. Coello Coello: Epsilon-constraint with an efficient cultured differential evolution. 2787-2794
- Luis Martí, Jesús García, Antonio Berlanga, José Manuel Molina: A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms. 2835-2842
- Gustavo Reis, Francisco Fernández de Vega: A novel approach to automatic music transcription using electronic synthesis and genetic algorithms. 2915-2922
Defense applications of computational intelligence
- Michael R. Peterson, Gary B. Lamont, Frank W. Moore, Patrick Marshall: A satellite image set for the evolution of image transforms for defense applications. 2901-2906
- Antonio Miguel Mora, Juan Julián Merelo Guervós, Juan Luís Jiménez Laredo, Pedro A. Castillo Valdivieso, Cristian Millán, Juan Torrecillas: Balancing safety and speed in the military path finding problem: analysis of different ACO algorithms. 2859-2864
- Robert M. Patton, Thomas E. Potok: Discovering event evidence amid massive, dynamic datasets. 2895-2900
- Brendan J. Babb: Evolved transforms surpass the FBI wavelet for improved fingerprint compression and reconstruction. 2603-2606
- Charles R. Haag, Gary B. Lamont, Paul D. Williams, Gilbert L. Peterson: An artificial immune system-inspired multiobjective evolutionary algorithm with application to the detection of distributed computer network intrusions. 2717-2724
Particle swarms the second decade
- Riccardo Poli: On the moments of the sampling distribution of particle swarm optimisers. 2907-2914
- Daniel Bratton, Tim Blackwell: Understanding particle swarms through simplification: a study of recombinant PSO. 2621-2628
- Cecilia Di Chio, Alberto Moraglio, Riccardo Poli: Geometric particle swarm optimisation on binary and real spaces: from theory to practice. 2659-2666
- Elon Santos Correa, Alex Alves Freitas, Colin G. Johnson: Particle swarm and bayesian networks applied to attribute selection for protein functional classification. 2651-2658
Medical applications of genetic and evolutionary computation
- Julio J. Valdés, Robert Orchard, Alan J. Barton: Exploring medical data using visual spaces with genetic programming and implicit functional mappings. 2953-2960
- Laurent Dumas, Linda El Alaoui: How genetic algorithms can improve a pacemaker efficiency. 2681-2686
- David M. Howard, Andy M. Tyrrell, Crispin H. V. Cooper: Evolution of adult male oral tract shapes for close and open vowels. 2751-2758
- JungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Tak Zhang: Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis. 2709-2716
Tutorial presentations
- Yossi Borenstein: An information perspective on evolutionary computation. 3021-3034
- Martin V. Butz: Learning classifier systems. 3035-3056
- Carlos A. Coello Coello: Constraint-handling techniques used with evolutionary algorithms. 3057-3077
- Kalyanmoy Deb: Evolutionary practical optimization. 3093-3132
- Edwin D. de Jong, Kenneth O. Stanley, R. Paul Wiegand: Introductory tutorial on coevolution. 3133-3157
- Kenneth DeJong: Evolutionary computation: a unified approach. 3158-3171
- Erik D. Goodman: Introduction to genetic algorithms. 3205-3224
- Juan Julián Merelo Guervós, Juan Luís Jiménez Laredo: Distributed evolutionary computation for fun and profit. 3251-3266
- Arun Khosla: Particle swarm optimization for fuzzy models. 3283-3296
- John R. Koza: Introduction to genetic programming. 3323-3365
- Rajeev Kumar: Evolutionary multiobjective combinatorial optimization. 3366-3390
- Xiaodong Li, Andries Petrus Engelbrecht: Particle swarm optimization: an introduction and its recent developments. 3391-3414
- Risto Miikkulainen: Evolving neural networks. 3415-3434
- Jason H. Moore: Bioinformatics. 3435-3457
- Gustavo Olague: Evolutionary computer vision. 3458-3507
- Ian C. Parmee: Evolutionary design search, exploration and optimisation. 3508-3536
- Martin Pelikan: Probabilistic model-building genetic algorithms. 3537-3562
- Jonathan E. Rowe: Genetic algorithm theory. 3585-3608
- Conor Ryan: Grammatical evolution. 3609-3626
- Lukás Sekanina: Evolvable hardware. 3627-3644
- Lee Spector: Quantum computing. 3645-3674
- Marco Tomassini: Evolutionary games: the Darwin connection. 3675-3689
- Leonardo Vanneschi, Sébastien Vérel: Fitness landscapes and problem hardness in evolutionary computation. 3690-3733
- Mark Wineberg, Steffen Christensen: An introduction to statistical analysis for evolutionary computation. 3765-3791
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last updated on 2013-06-19T203413 by the dblp team