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ORCIDGECCO 2007: London, UK
- Hod Lipson:
Genetic and Evolutionary Computation Conference, GECCO 2007, Proceedings, London, England, UK, July 7-11, 2007. ACM 2007, ISBN 978-1-59593-697-4
Ant colony optimization and swarm intelligence: papers
- Ajith Abraham, Swagatam Das, Amit Konar:
Kernel based automatic clustering using modified particle swarm optimization algorithm. 2-9 - Enrique Alba
, Francisco Chicano:
ACOhg: dealing with huge graphs. 10-17 - Stefan Bird, Xiaodong Li:
Informative performance metrics for dynamic optimisation problems. 18-25 - Steve Cayzer, Julie Sullivan:
Modelling danger and anergy in artificial immune systems. 26-32 - Benjamin Doerr, Frank Neumann, Dirk Sudholt, Carsten Witt:
On the runtime analysis of the 1-ANT ACO algorithm. 33-40 - Carlos M. Fernandes, Agostinho C. Rosa, Vitorino Ramos:
Binary ant algorithm. 41-48 - Julie Greensmith, Uwe Aickelin:
Dendritic cells for SYN scan detection. 49-56 - Ramin Halavati, Saeed Bagheri Shouraki, Mojdeh Jalali Heravi, Bahareh Jafari Jashmi:
An artificial immune system with partially specified antibodies. 57-62 - Adnan Ahmed Khan, Muhammad Naeem, Syed Ismail Shah:
A particle swarm algorithm for symbols detection in wideband spatial multiplexing systems. 63-69 - Praveen Koduru, Stephen M. Welch, Sanjoy Das:
A particle swarm optimization approach for estimating parameter confidence regions. 70-77 - Xiaodong Li:
A multimodal particle swarm optimizer based on fitness Euclidean-distance ratio. 78-85 - Sean Luke, Deepankar Sharma, Gabriel Catalin Balan:
Finding interesting things. 86-93 - Francisco Luna, Christian Blum, Enrique Alba, Antonio J. Nebro:
ACO vs EAs for solving a real-world frequency assignment problem in GSM networks. 94-101 - Nauman Mazhar, Muddassar Farooq:
Vulnerability analysis and security framework (BeeSec) for nature inspired MANET routing protocols. 102-109 - Arvind S. Mohais, Rosemarie Mohais, Christopher Ward, Christian Posthoff:
Earthquake classifying neural networks trained with random dynamic neighborhood PSOs. 110-117 - Alberto Moraglio, Julian Togelius:
Geometric particle swarm optimization for the sudoku puzzle. 118-125 - Quan-Ke Pan, Mehmet Fatih Tasgetiren, Yun-Chia Liang:
A discrete differential evolution algorithm for the permutation flowshop scheduling problem. 126-133 - Riccardo Poli, David S. Broomhead:
Exact analysis of the sampling distribution for the canonical particle swarm optimiser and its convergence during stagnation. 134-141 - Riccardo Poli, William B. Langdon:
Markov chain models of bare-bones particle swarm optimizers. 142-149 - Enda Ridge, Daniel Kudenko:
Analyzing heuristic performance with response surface models: prediction, optimization and robustness. 150-157 - Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan, Quan-Ke Pan:
A discrete particle swarm optimization algorithm for the generalized traveling salesman problem. 158-167
Ant colony optimization, swarm intelligence, and artificial immune systems: posters
- Aristoklis D. Anastasiadis, George D. Georgoulas, George D. Magoulas, Anthony Tzes:
Adaptive particle swarm optimizer with nonextensive schedule. 168 - Abdul Rauf Baig, M. Rashid:
Honey bee foraging algorithm for multimodal & dynamic optimization problems. 169 - Adrian A. de Freitas, Christopher B. Mayer:
The effectiveness of dynamic ant colony tuning. 170 - Grazziela Patrocinio Figueredo, Nelson F. F. Ebecken, Helio J. C. Barbosa:
Suppression based immune mechanism to find arepresentative training set in data classification tasks. 171 - Tao Gong, Andrew Tuson:
Binary particle swarm optimization: a forma analysis approach. 172 - Xuan Hoai Nguyen, Quang Uy Nguyen, Robert I. McKay:
PSO with randomized low-discrepancy sequences. 173 - Hoang Thanh Lam, Nina Nicolaevna Popova, Quan Thoi Minh Nguyen:
A heuristic particle swarm optimization. 174 - Michèle Lavagna:
Multi-objective pso for interplanetary trajectory design. 175 - Manuel López-Ibáñez, T. Devi Prasad, Ben Paechter:
Solving optimal pump control problem using max-min ant system. 176 - Andrew W. McNabb, Christopher K. Monson, Kevin D. Seppi:
MRPSO: MapReduce particle swarm optimization. 177 - Paola Pellegrini, Elena Moretti:
Quick-and-dirty ant colony optimization. 178 - Sébastien Piccand, Michael O'Neill, Jacqueline Walker:
Scalability of particle swarm algorithms. 179 - Enda Ridge, Daniel Kudenko:
Screening the parameters affecting heuristic performance. 180 - Andrés Romero, Fernando Niño:
Keyword extraction using an artificial immune system. 181 - M. Zubair Shafiq, Mehrin Kiani, Bisma Hashmi, Muddassar Farooq:
Extended thymus action for reducing false positives in ais based network intrusion detection systems. 182 - Jan A. Snyman, Schalk Kok:
A strongly interacting dynamic particle swarm optimizational method. 183 - Robert L. Stewart, Michael Kirley:
Swarming with logic. 184 - Jiahai Wang, Yalan Zhou:
Hybrid quantum particle swarm optimization algorithm for combinatorial optimization problem. 185 - Yifeng Zeng, Jorge Cordero Hernandez, Dennis Plougman Buus:
SwarmArchitect: a swarm framework for collaborative construction. 186 - Xingquan Zuo:
Robust scheduling method based on workflow simulation model and biological immune principle. 187
Artificial life, evolutionary robotics, adaptive behavior, evolvable hardware: papers
- Joachim Becker, Stanis Trendelenburg, Fabian Henrici, Yiannos Manoli:
Synthesis of analog filters on an evolvable hardware platform using a genetic algorithm. 190-197 - Josh C. Bongard:
Action-selection and crossover strategies for self-modeling machines. 198-205 - Edgar Bermudez Contreras:
A biologically inspired solution for an evolved simulated agent. 206-213 - Josh C. Bongard:
Exploiting multiple robots to accelerate self-modeling. 214-221 - John A. Bullinaria:
The effect of learning on life history evolution. 222-229 - Cecilia Di Chio, Riccardo Poli, Paolo Di Chio:
EcoPS: a particle swarm algorithm to model group-foraging. 230-237 - Nicolás S. Estévez, Hod Lipson:
Dynamical blueprints: exploiting levels of system-environment interaction. 238-244 - Zbysek Gajda, Lukás Sekanina:
Reducing the number of transistors in digital circuits using gate-level evolutionary design. 245-252 - Stanley Phillips Gotshall, Terence Soule:
Stochastic training of a biologically plausible spino-neuromuscular system model. 253-260 - Min Gui, Sanjoy Das, Anil Pahwa:
Procreating V-detectors for nonself recognition: an application to anomaly detection in power systems. 261-268 - Gul Muhammad Khan, Julian Francis Miller, David M. Halliday:
Coevolution of intelligent agents using cartesian genetic programming. 269-276 - Susan Khor:
Hill climbing on discrete HIFF: exploring the role of DNA transposition in long-term artificial evolution. 277-284 - DaeEun Kim:
A quantitative analysis of memory requirement and generalization performance for robotic tasks. 285-292 - David B. Knoester, Philip K. McKinley, Charles Ofria:
Using group selection to evolve leadership in populations of self-replicating digital organisms. 293-300 - Jon McCormack:
Artificial ecosystems for creative discovery. 301-307 - Joshua L. Payne, Margaret J. Eppstein:
Takeover times on scale-free topologies. 308-315 - Lee Spector, Jon Klein, Mark Feinstein:
Division blocks and the open-ended evolution of development, form, and behavior. 316-323 - Julian Togelius, Renzo De Nardi, Hugo Gravato Marques, Richard A. Newcombe, Simon M. Lucas, Owen Holland:
Nonlinear dynamics modelling for controller evolution. 324-333
Artificial life, evolutionary robotics, adaptive behavior, evolvable hardware: posters
- Bart Baddeley, Andrew Philippides:
Bee SLAM: a probabilistic framework for studying orientation flights in bees and wasps. 334 - Gusz Eiben, Joeri Bekker, Robert Griffioen, Evert Haasdijk:
Balancing quality and quantity in evolving agent systems. 335 - Nicolas Brodu:
A framework for the emergence of intra-species mutual recognition patterns. 336 - Dara Curran, Colm O'Riordan, Humphrey Sorensen:
The effects of lifetime learning on the diversity and fitness of populations. 337 - Dara Curran, Colm O'Riordan, Humphrey Sorensen:
Self-adaptation of cultural learning parameters. 338 - Hengjie Song, Chunyan Miao, Zhiqi Shen:
Fuzzy cognitive map learning based on multi-objectiveparticle swarm optimization. 339 - Correy Allen Kowall, Brian J. Krent:
A simulation of evolved autotrophic reproduction. 340 - Peter Krcah:
Evolving virtual creatures revisited. 341 - Geoff Nitschke, Martijn C. Schut, A. E. Eiben:
Collective specialization in multi-rover systems. 342 - Simon T. Powers, Richard A. Watson:
Preliminary investigations into the evolution of cooperative strategies in a minimally spatial model. 343 - Steffen Priesterjahn, Alexander Weimer:
An evolutionary online adaptation method for modern computer games based on imitation. 344-345
Biological applications: papers
- Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Kumara Sastry, Xavier Llorà, Natalio Krasnogor:
Automated alphabet reduction method with evolutionary algorithms for protein structure prediction. 346-353 - Stefan Bleuler, Eckart Zitzler:
Discrimination of metabolic flux profiles using a hybrid evolutionary algorithm. 354-360 - Emre H. Brookes, Borries Demeler:
Parsimonious regularization using genetic algorithms applied to the analysis of analytical ultracentrifugation experiments. 361-368 - Larry Bull, Ivan S. Uroukov:
Initial results from the use of learning classifier systems to control in vitro neuronal networks. 369-376 - Tak-Ming Chan, Kwong-Sak Leung, Kin-Hong Lee:
TFBS identification by position- and consensus-led genetic algorithm with local filtering. 377-384 - Federico Divina, Jesús S. Aguilar-Ruiz:
A multi-objective approach to discover biclusters in microarray data. 385-392 - Sergio Raul Duarte Torres, David Camilo Becerra Romero, Luis Fernando Niño Vasquez, Yoan José Pinzón Ardila:
A novel ab-initio genetic-based approach for protein folding prediction. 393-400 - Alper Küçükural, Reyyan Yeniterzi, Süveyda Yeniterzi, Osman Ugur Sezerman:
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms. 401-406 - Moshe Looks, Ben Goertzel, Lúcio de Souza Coelho, Mauricio Mudado, Cassio Pennachin:
Clustering gene expression data via mining ensembles of classification rules evolved using moses. 407-414 - Miguel Rocha, Rui Mendes, Paulo Maia, Daniel Glez-Peña, Florentino Fdez-Riverola:
A platform for the selection of genes in DNA microarraydata using evolutionary algorithms. 415-423
Biological applications: posters
- Andrea Bazzoli, Giorgio Colombo, Andrea Tettamanzi:
Ab initio protein structure prediction with a dipeptide-assembly evolutionary algorithm. 424 - Telma Woerle de Lima, Rodrigo Antonio Faccioli, Paulo Henrique Ribeiro Gabriel, Alexandre C. B. Delbem, Ivan Nunes da Silva:
Evolutionary approach to protein structure prediction with hydrophobic interactions. 425 - Chrisantha Thomas Fernando, Jonathan E. Rowe:
Hebbian learning in a simple gene circuit. 426 - José García-Nieto, Enrique Alba, Laetitia Jourdan, El-Ghazali Talbi:
A comparison of PSO and GA approaches for gene selection and classification of microarray data. 427 - Ed Keedwell, Ajit Narayanan:
Gene finding and rule discovery with a multi-objective neural-genetic hybrid. 428 - William H. Latham, Miki Shaw, Stephen Todd, Frederic F. Leymarie:
Using DNA to generate 3D organic art forms. 429 - Moshe Looks, Ben Goertzel, Lúcio de Souza Coelho, Mauricio Mudado, Cassio Pennachin:
Understanding microarray data through applying competent program evolution. 430 - Filippo Menolascina, Roberto Teixeira Alves, Stefania Tommasi, Patrizia Chiarappa, Myriam Regattieri Delgado, Giuseppe Mastronardi, Angelo Paradiso, Alex Alves Freitas, Vitoantonio Bevilacqua:
Induction of fuzzy rules with artificial immune systems in acgh based er status breast cancer characterization. 431 - Jason H. Moore, Nate Barney, Bill C. White:
Towards human-human-computer interaction for biologically-inspired problem-solving in human genetics. 432-433
Coevolution: papers
- Anthony Bucci, Jordan B. Pollack:
Thoughts on solution concepts. 434-439 - Edwin D. de Jong:
Objective fitness correlation. 440-447 - Jeffrey Horn:
Optimal nesting of species for exact cover of resources: two against many. 448-455 - Rui Li, Bir Bhanu, Krzysztof Krawiec:
Hybrid coevolutionary algorithms vs. SVM algorithms. 456-463 - Peter Lichodzijewski, Malcolm I. Heywood:
Pareto-coevolutionary genetic programming for problem decomposition in multi-class classification. 464-471 - Christopher Stone, Rita Toth, Andrew Adamatzky, Ben de Lacy Costello, Larry Bull:
Towards the coevolution of cellular automata controllers for chemical computing with the B-Z reaction. 472-478 - Ting-Shuo Yo, Edwin D. de Jong:
A comparison of evaluation methods in coevolution. 479-487
Coevolution: posters
- Chun-Kit Au, Ho-fung Leung:
Guided mutations in cooperative coevolutionary algorithms for function optimization. 488 - Rui Li, Bir Bhanu, Krzysztof Krawiec:
On the number of subpopulations in coevolutionary computation: a database application. 489 - Jules Ottino-Loffler, William Rand, Uri Wilensky:
A spatial model of the red queen effect. 490-491
Estimation of distribution algorithms: papers
- Peter A. N. Bosman, Jörn Grahl, Franz Rothlauf:
SDR: a better trigger for adaptive variance scaling in normal EDAs. 492-499 - Peter A. N. Bosman, Dirk Thierens:
Adaptive variance scaling in continuous multi-objective estimation-of-distribution algorithms. 500-507 - Jürgen Branke, Clemens Lode, Jonathan L. Shapiro:
Addressing sampling errors and diversity loss in UMDA. 508-515 - Jörn Grahl, Peter A. N. Bosman, Stefan Minner:
Convergence phases, variance trajectories, and runtime analysis of continuous EDAs. 516-522 - Mark Hauschild, Martin Pelikan, Cláudio F. Lima, Kumara Sastry:
Analyzing probabilistic models in hierarchical BOA on traps and spin glasses. 523-530 - Piotr Lipinski:
ECGA vs. BOA in discovering stock market trading experts. 531-538 - Moshe Looks:
Scalable estimation-of-distribution program evolution. 539-546 - Martin Pelikan, Rajiv Kalapala, Alexander K. Hartmann:
Hybrid evolutionary algorithms on minimum vertex cover for random graphs. 547-554 - Martin Pelikan, James D. Laury Jr.:
Order or not: does parallelization of model building in hBOA affect its scalability? 555-561 - Petr Posík, Vojtech Franc:
Estimation of fitness landscape contours in EAs. 562-569 - Abdellah Salhi, José Antonio Vázquez Rodríguez, Qingfu Zhang:
An estimation of distribution algorithm with guided mutation for a complex flow shop scheduling problem. 570-576 - Kumara Sastry, David E. Goldberg, Xavier Llorà:
Towards billion-bit optimization via a parallel estimation of distribution algorithm. 577-584 - Siddhartha Shakya, Fernando S. Oliveira, Gilbert Owusu:
An application of EDA and GA to dynamic pricing. 585-592 - Chang Wook Ahn, Rudrapatna S. Ramakrishna:
Multiobjective real-coded bayesian optimization algorithmrevisited: diversity preservation. 593-600 - Tian-Li Yu, Kumara Sastry, David E. Goldberg, Martin Pelikan:
Population sizing for entropy-based model building in discrete estimation of distribution algorithms. 601-608 - Yunpeng Cai, Xiaomin Sun, Hua Xu, Peifa Jia:
Cross entropy and adaptive variance scaling in continuous EDA. 609-616 - Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang:
Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover. 617-623
Estimation of distribution algorithms: posters
- David Jonathan Coffin, Robert Elliott Smith:
Why is parity hard for estimation of distribution algorithms? 624 - Eric Martin Heien, Tomoyuki Hiroyasu, Noriyuki Fujimoto:
Investigation of mutation operators for the bayesian optimization algorithm. 625 - Moshe Looks:
Meta-optimizing semantic evolutionary search. 626 - Volker Nannen, A. E. Eiben:
Variance reduction in meta-EDA. 627 - Martin Pelikan, Alexander K. Hartmann:
Obtaining ground states of ising spin glasses via optimizing bonds instead of spins. 628 - Martin Pelikan, Shigeyoshi Tsutsui, Rajiv Kalapala:
Dependency trees, permutations, and quadratic assignment problem. 629