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GECCO 2007: London, UK - Companion Material
- Dirk Thierens:
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
- Zhanhua Bai, Qiang Lv:
A leader-based parallel cross entropy algorithm for MCP. 2401-2406 - Maumita Bhattacharya:
Expensive optimization, uncertain environment: an EA-based solution. 2407-2414 - Franck Binard, Amy P. Felty:
An abstraction-based genetic programming system. 2415-2422 - Alexander E. I. Brownlee
, John A. W. McCall
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 Ibrahim Hosny
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
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
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
Adaptive genetic programming for option pricing. 2588-2594
Learning classifier systems
- Jan Drugowitsch, Alwyn Barry:
A principled foundation for LCS. 2675-2680 - Larry Bull:
On lookahead and latent learning in simple LCS. 2633-2636 - Albert Orriols-Puig, Ester Bernadó-Mansilla
Substructrual surrogates for learning decomposable classification problems: implementation and first results. 2875-2882 - Albert Orriols-Puig, Jorge Casillas
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 - Matthew Gershoff, Sonia Schulenburg:
Collective behavior based hierarchical XCS. 2695-2700 - 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
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
A systemic computation platform for the modelling and analysis of processes with natural characteristics. 2809-2816 - Michael Affenzeller, Stefan Wagner
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
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
Agent-environment interaction in a multi-agent system: a formal model. 2607-2612 - David Malkin, R. Beau Lotto:
Evolutionary benefits of evolvable component integration. 2825-2830 - 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 Tekchand 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
Eye-tracking evolutionary algorithm to minimize user fatigue in IEC applied to interactive one-max problem. 2883-2886 - Alexandra Melike Brintrup
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
Browser-based distributed evolutionary computation: performance and scaling behavior. 2851-2858 - Alexander Mendiburu
A parallel framework for loopy belief propagation. 2843-2850 - José Ignacio Hidalgo
Is the island model fault tolerant? 2737-2744 - A. E. Eiben, Marc Schoenauer
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 - Correy Allen Kowall, Brian J. Krent:
A simulation of evolved autotrophic reproduction. 2781-2786 - 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
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
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
Balancing safety and speed in the military path finding problem: analysis of different ACO algorithms. 2859-2864 - Robert M. Patton
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 - Tim Blackwell, Daniel Bratton:
Origin of bursts. 2613-2620 - Laura Diosan, Mihai Oltean
Observing the swarm behaviour during its evolutionary design. 2667-2674 - Daniel Bratton, Tim Blackwell:
Understanding particle swarms through simplification: a study of recombinant PSO. 2621-2628 - Cecilia Di Chio, Alberto Moraglio
Geometric particle swarm optimisation on binary and real spaces: from theory to practice. 2659-2666 - Nicholas Holden, Alex Alves Freitas
A hybrid PSO/ACO algorithm for classification. 2745-2750 - Elon Santos Correa
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
Evolution of adult male oral tract shapes for close and open vowels. 2751-2758 - JungWoo Ha
Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis. 2709-2716
Tutorial presentations
- Thomas Bartz-Beielstein
Experimental research in evolutionary computation. 3001-3020 - 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 - Carlos Cotta
Complex networks and evolutionary computation. 3078-3092 - Kalyanmoy Deb:
Evolutionary practical optimization. 3093-3132 - Edwin D. de Jong, Kenneth O. Stanley, R. Paul Wiegand:
Introductory tutorial on coevolution. 3133-3157 - Kenneth A. De Jong:
Evolutionary computation: a unified approach. 3158-3171 - Sevan G. Ficici, Anthony Bucci:
Advanced tutorial on coevolution. 3172-3204 - Erik D. Goodman
Introduction to genetic algorithms. 3205-3224 - Thomas Jansen
Computational complexity and evolutionary computation. 3225-3250 - Juan Julián Merelo Guervós
Distributed evolutionary computation for fun and profit. 3251-3266 - Arun Khosla
Particle swarm optimization for fuzzy models. 3283-3296 - Arthur K. Kordon, Guido Smits, Mark E. Kotanchek:
Industrial evolutionary computing. 3297-3322 - John R. Koza:
Introduction to genetic programming. 3323-3365 - Rajeev Kumar:
Evolutionary multiobjective combinatorial optimization. 3366-3390 - Xiaodong Li
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 - Riccardo Poli
Genetic programming theory. 3563-3584 - 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
Fitness landscapes and problem hardness in evolutionary computation. 3690-3733 - Michael D. Vose, L. Darrell Whitley:
No free lunch. 3734-3764 - Mark Wineberg, Steffen Christensen:
An introduction to statistical analysis for evolutionary computation. 3765-3791 - Eckart Zitzler, Kalyanmoy Deb:
Evolutionary multiobjective optimization. 3792-3809
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