Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

1A. Arbelaez.

Learning During Search, Université Paris-Sud XI, Orsay - France, May 2011.
2F. Teytaud.

Introduction of Statistics in Optimization, Universite Paris-Sud XI, Orsay - France, December 2011.
3O. Teytaud.

Artificial Intelligence and Optimization with parallelism, Univeristé Paris-Sud, April 2011, Habilitation à Diriger des Recherches.

Articles in International Peer-Reviewed Journal

4A. Auger, J. Bader, D. Brockhoff, E. Zitzler.

Hypervolume-based Multiobjective Optimization: Theoretical Foundations and Practical Implications, in: Theoretical Computer Science, December 2011. [ DOI : 10.1016/j.tcs.2011.03.012 ]

http://hal.inria.fr/inria-00638989/en
5D. Auger, O. Teytaud.

The Frontier of Decidability in Partially Observable Recursive Games, in: International Journal on Fundations of Computer Science, 2012, Accepted.
6Z. Bouzarkouna, D. Y. Ding, A. Auger.

Well Placement Optimization with the Covariance Matrix Adaptation Evolution Strategy and Meta-Models, in: Computational Geosciences, September 2011, p. 1-18.

http://hal.inria.fr/hal-00628126/en
7N. Bredeche, J.-M. Montanier, W. Liu, A. Winfield.

Environment-driven Distributed Evolutionary Adaptation in a Population of Autonomous Robotic Agents, in: Mathematical and Computer Modelling of Dynamical Systems, 2011.

http://hal.inria.fr/inria-00531450/en
8A. Devert, N. Bredeche, M. Schoenauer.

Robustness and the Halting Problem for Multi-Cellular Artificial Ontogeny, in: IEEE Transactions on Evolutionary Computation, 2011.

http://hal.inria.fr/inria-00566879/en
9T. Elteto, C. Germain-Renaud, P. Bondon, M. Sebag.

Towards Non-Stationary Grid Models, in: Journal of Grid Computing, December 2011. [ DOI : 10.1007/s10723-011-9194-z ]

http://hal.inria.fr/inria-00616279/en
10G. Fouquier, J. Atif, I. Bloch.

Sequential model-based segmentation and recognition of image structures driven by visual features and spatial relations, in: Computer Vision and Image Understanding, 2011, accepted, toappear.
11N. Hansen, R. Ros, N. Mauny, M. Schoenauer, A. Auger.

Impacts of Invariance in Search: When CMA-ES and PSO Face Ill-Conditioned and Non-Separable Problems, in: Applied Soft Computing, 2011, vol. 11, p. 5755-5769. [ DOI : 10.1016/j.asoc.2011.03.001 ]

http://hal.inria.fr/inria-00583669/en

International Conferences with Proceedings

12R. Akrour, M. Schoenauer, M. Sebag.

Preference-Based Policy Learning, in: Machine Learning and Knowledge Discovery in Databases, D. Gunopulos, T. Hofmann, D. Malerba, M. Vazirgiannis (editors), LNCS, Springer Verlag, 2011, vol. 6911, p. 12-27.

http://hal.inria.fr/inria-00625001/en
13A. Arbelaez, Y. Hamadi.

Improving Parallel Local Search for SAT, in: Learning and Intelligent Optimization, Fifth International Conference, LION 2011, Coello Coelle, Carlos A. (editor), LNCS 6683, Springer Verlag, 2011, p. 46-60.
14J. Atif, C. Hudelot, I. Bloch.

Abduction in Description Logics using Formal Concept Analysis and Mathematical Morphology: application to image interpretation, in: Concept Lattices and Applications (CLA2011), Nancy, Paris, October 2011, p. 405-408.
15I. Atsonios, O. Beaumont, N. Hanusse, Y. Kim.

On Power-Law Distributed Balls in Bins and its Applications to View Size Estimation, in: ISAAC, Yokohama, Japan, December 2011.

http://hal.inria.fr/inria-00618785/en
16A. Auger, D. Brockhoff, N. Hansen.

Analyzing the Impact of Mirrored Sampling and Sequential Selection in Elitist Evolution Strategies, in: Foundations of Genetic Algorithms (FOGA 2011), Schwarzenberg, Austria, April 2011, p. 127-138. [ DOI : 10.1145/1967654.1967666 ]

http://hal.inria.fr/inria-00587507/en
17A. Auger, D. Brockhoff, N. Hansen.

Mirrored Sampling in Evolution Strategies With Weighted Recombination, in: Genetic and Evolutionary Computation Conference (GECCO 2011), Dublin, Ireland, ACM, July 2011, p. 861-868. [ DOI : 10.1145/2001576.2001694 ]

http://hal.inria.fr/inria-00612522/en
18J. Bergstra, R. Bardenet, Y. Bengio, B. Kégl.

Algorithms for Hyper-Parameter Optimization, in: 25th Annual Conference on Neural Information Processing Systems (NIPS 2011), Granada, Spain, November 2011.

http://hal.inria.fr/hal-00642998/en
20Z. Bouzarkouna, D. Y. Ding, A. Auger.

Partially Separated Meta-models with Evolution Strategies for Well Placement Optimization, in: 73rd EAGE Conference & Exhibition incorporating SPE EUROPEC, Vienne, Austria, May 2011.

http://hal.inria.fr/hal-00588983/en
21R. Busa-Fekete, B. Kégl, T. Elteto, G. Szarvas.

A Robust Ranking Methodology based on Diverse Calibration of AdaBoost, in: European Conference on Machine Learning (ECML 2011), Athens, Greece, November 2011.

http://hal.inria.fr/hal-00643000/en
22R. Busa-Fekete, B. Kégl, T. Elteto, G. Szarvas.

Ranking by calibrated AdaBoost, in: Yahoo! Learning to Rank Challenge, Haifa, Israel, June 2011.

http://hal.inria.fr/hal-00643001/en
23S. Chevallier, N. Bredeche, H. Paugam-Moisy, M. Sebag.

Emergence of Temporal and Spatial Synchronous Behaviors in a Foraging Swarm, in: ECAL 2011, Paris, France, T. Lenaerts, M. Giacobini, H. Bersini, P. Bourgine, M. Dorigo, R. Doursat (editors), LCNS, Springer, August 2011, p. 125-132.
24C.-W. Chou, P.-C. Chou, H. Doghmen, C.-S. Lee, T.-C. Su, F. Teytaud, O. Teytaud.

Towards a solution of 7x7 Go with Meta-MCTS, in: Proc. Advances in Computer Games, 2011, Accepted.
25P.-C. Chou, H. Doghmen, C.-S. Lee, F. Teytaud, O. Teytaud, H.-C. Wang, M.-H. Wang, S.-J. Yen, W.-L. Wu.

Computational and Human Intelligence in Blind Go, in: Computational Intelligence and Games, Seoul, Korea, Democratic People'S Republic Of, September 2011.

http://hal.inria.fr/inria-00625849/en
26C.-W. Chou, O. Teytaud, S.-J. Yen.

Revisiting Monte-Carlo Tree Search on a Normal Form Game: NoGo, in: EvoGames 2011, Turino, Italy, Lecture Notes in Computer Science, Springer-Verlag, April 2011, vol. 6624, p. 73-82. [ DOI : 10.1007/978-3-642-20525-5 ]

http://hal.inria.fr/inria-00593154/en
27R. Coulom, P. Rolet, N. Sokolovska, O. Teytaud.

Handling Expensive Optimization with Large Noise, in: Foundations of Genetic Algorithms, Austria, ACM, January 2011, p. 61-68.

http://hal.inria.fr/hal-00517157/en
28A. Couëtoux, J.-B. Hoock, N. Sokolovska, O. Teytaud, N. Bonnard.

Continuous Upper Confidence Trees, in: LION'11: Proc. 5th International Conference on Learning and Intelligent OptimizatioN, Italy, LNCS 6683, Springer Verlag, January 2011, p. 433-445.

http://hal.inria.fr/hal-00542673/en
29A. Couëtoux, M. Milone, M. Brendel, H. Doghmen, M. Sebag, O. Teytaud.

Continuous Rapid Action Value Estimates, in: The 3rd Asian Conference on Machine Learning (ACML2011), Taoyuan, Taiwan, Province Of China, C.-N. Hsu, W. S. Lee (editors), Workshop and Conference Proceedings, JMLR, 2011, vol. 20, p. 19-31.

http://hal.inria.fr/hal-00642459/en
30A. Couëtoux, M. Milone, O. Teytaud.

Consistent Belief State Estimation, with Application to Mines, in: Proc. TAAI 2011, 2011.
31A. Couëtoux, O. Teytaud, H. Doghmen.

Improving exploration in Upper Confidence Trees, in: Proc. LION'6, Y. Hamadi, M. Schoenauer (editors), LNCS, Springer Verlag, 2012.
32S. Cussat-Blanc, N. Bredeche, H. Luga, Y. Duthen, M. Schoenauer.

Artificial Gene Regulatory Network and Spatial Computation: A Case Study, in: European Conference on Artificial Life, Paris, France, 2011.

http://hal.inria.fr/inria-00601778/en
33S. Cussat-Blanc, N. Bredeche, H. Luga, Y. Duthen, M. Schoenauer.

Artificial Gene Regulatory Networks and Spatial Computation: A Case Study, in: ECAL, Paris, France, August 2011.

http://hal.inria.fr/inria-00601816/en
34Á. Fialho, Y. Hamadi, M. Schoenauer.

Optimizing Architectural and Structural Aspects of Buildings towards Higher Energy Efficiency, in: GECCO 2011 Workshop on GreenIT Evolutionary Computation, Dublin, Ireland, July 2011.

http://hal.inria.fr/inria-00591930/en
35C. Furtlehner, Y. Han, J.-M. Lasgouttes, V. Martin, F. Moutarde.

Propagation of information on undirected dependency graphs for road traffic inference, in: Chaos, Complexity and Transport, CCT'11, Marseille, France, 2011.

http://hal.inria.fr/hal-00648681/en/
36C. Furtlehner, J.-M. Lasgouttes, M. Samsonov.

The Fundamental Diagram on the Ring Geometry for Particle Processes with Acceleration/Braking Asymmetry, in: Traffic and Granular Flow 2011, Moscou, Russie, Fédération De, 2011.

http://hal.inria.fr/hal-00646988/en/
37C. Germain-Renaud, A. Cady, P. Gauron, M. Jouvin, C. Loomis, J. Martyniak, J. Nauroy, G. Philippon, M. Sebag.

The Grid Observatory, in: IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, Newport Beach, United States, IEEE Computer Society Press, May 2011.

http://hal.inria.fr/inria-00586502/en
38C. Germain-Renaud, F. Fürst, M. Jouvin, G. Kassel, J. Nauroy, G. Philippon.

The Green Computing Observatory: a data curation approach for green IT, in: International Conference on Cloud and Green Computing, Sydney, Australia, December 2011.

http://hal.inria.fr/inria-00632423/en
39V. Heidrich-Meisner, C. Igel.

Non-linearly increasing resampling in racing algorithms, in: European Symposium on Artificial Neural Networks, Bruges, Belgium, M. Verleysen (editor), Evere, Belgium: d-side publications, April 2011, p. 465-470.

http://hal.inria.fr/inria-00633006/en
40B. Helmstetter, C.-S. Lee, F. Teytaud, O. Teytaud, M.-H. Wang, S.-J. Yen.

Random positions in Go, in: Computational Intelligence and Games, Seoul, Korea, Democratic People'S Republic Of, September 2011.

http://hal.inria.fr/inria-00625815/en
41J.-B. Hoock, O. Teytaud.

Progress Rate in Noisy Genetic Programming for Choosing $λ$ , in: Artificial Evolution, Angers, France, J.-K. Hao, et al. (editors), 2011.

http://hal.inria.fr/inria-00622150/en
42Y. Kim, C. Germain-Renaud.

Characterizing E-Science File Access Behavior via Latent Dirichlet Allocation, in: 4th IEEE International Conference on Utility and Cloud Computing (UCC 2011), Melbourne, Australia, IEEE, December 2011.

http://hal.inria.fr/inria-00617914/en
43A. Kuno, J.-M. Montanier, S. Takano, N. Bredeche, M. Schoenauer, M. Sebag, E. Suzuki.

On-board Evolutionary Algorithm and Off-line Rule Discovery for Column Formation in Swarm Robotics, in: IEEE/ACM/WIC International Conference on Intelligent Agent Technology, Lyon, France, 2011.

http://hal.inria.fr/inria-00601785/en
44Z. Lewkovicz, S. Thiriot, P. Caillou.

How detailed should social networks be for labor market's models ?, in: SNAMAS@AISB 2011, York, United Kingdom, April 2011.

http://hal.inria.fr/inria-00579620/en
45I. Loshchilov, M. Schoenauer, M. Sebag.

Adaptive Coordinate Descent, in: Genetic and Evolutionary Computation Conference (GECCO 2011), Dublin, Ireland, April 2011.

http://hal.inria.fr/inria-00587534/en
46I. Loshchilov, M. Schoenauer, M. Sebag.

Not all parents are equal for MO-CMA-ES, in: Evolutionary Multi-Criterion Optimization 2011 (EMO 2011), Ouro Preto, Brazil, February 2011.

http://hal.inria.fr/inria-00565282/en
47D. Lupin Saint-Pierre, Q. Louveaux, O. Teytaud.

Online Sparse Bandit for Card Games, in: Proc. Advances in Computer Games, 2011, Accepted.
48D. Lupin Saint-Pierre, Q. Louveaux, O. Teytaud.

Online Sparse Bandits, in: The 3rd Asian Conference on Machine Learning (ACML2011), Taoyuan, Taiwan, Province Of China, 2011.

http://hal.inria.fr/hal-00642461/en
49B. Matthias, M. Schoenauer.

Instance-Based Parameter Tuning and Learning for Evolutionary AI Planning, in: Workshop on Planning and Learning at 21st ICAPS, Freiburg, Germany, June 2011.

http://hal.inria.fr/inria-00632368/en
50B. Matthias, M. Schoenauer.

Instance-based parameter tuning for evolutionary AI planning, in: Workshops Proc. of Genetic and Evolutionary Computation Conference, Dublin, Ireland, ACM Press, July 2011, p. 591-599.

http://hal.inria.fr/inria-00632375/en
51B. Matthias, M. Schoenauer.

Learn-and-Optimize: a Parameter Tuning Framework for Evolutionary AI Planning, in: Artificial Evolution, Angers, France, J.-K. Hao, et al. (editors), October 2011.

http://hal.inria.fr/inria-00632378/en
52J.-M. Montanier, N. Bredeche.

Emergence of Altruism in Open-ended Evolution in a Population of Autonomous Agents, in: GECCO, Dublin, Ireland, 2011.

http://hal.inria.fr/inria-00601791/en
53J.-M. Montanier, N. Bredeche.

Surviving the Tragedy of Commons: Emergence of Altruism in a Population of Evolving Autonomous Agents, in: European Conference on Artificial Life, Paris, France, 2011.

http://hal.inria.fr/inria-00601776/en
54J. Perez, B. Kégl, C. Germain-Renaud.

Non-Markovian Reinforcement Learning for Reactive Grid scheduling, in: Conférence Francophone d'Apprentissage, Chambéry, France, Presses Universitaires des Antilles et de la Guyane (editor), Publibook, May 2011.

http://hal.inria.fr/inria-00586504/en
55S. Rebecchi, H. Paugam-Moisy, M. Sebag.

Learning sparse features with an auto-associator, in: DevLeaNN, 2011.
56A. Rimmel, F. Teytaud, T. Cazenave.

Optimization of the Nested Monte-Carlo Algorithm on the Traveling Salesman Problem with Time Windows, in: Evostar, Turin, Italy, February 2011.

http://hal.inria.fr/inria-00563668/en
57T. Runarsson, M. Schoenauer, M. Sebag.

Pilot, Rollout and Monte Carlo Tree Search Methods for Combinatorial Optimization, in: Proc. LION'6, Y. Hamadi, M. Schoenauer (editors), LNCS, Springer Verlag, 2012.
58M. Schoenauer, F. Teytaud, O. Teytaud.

A Rigorous Runtime Analysis for Quasi-Random Restarts and Decreasing Stepsize, in: Artificial Evolution, Angers, France, J.-K. Hao, et al. (editors), October 2011.

http://hal.inria.fr/inria-00625855/en
59N. Sokolovska.

Aspects of Semi-Supervised and Active Learning in Conditional Random Fields, in: ECML PKDD 2011, Greece, September 2011, p. 273-288.

http://hal.inria.fr/hal-00624831/en
60N. Sokolovska, O. Teytaud, M. Milone.

Q-Learning with Double Progressive Widening : Application to Robotics, in: ICONIP 2011, China, September 2011, p. 103-112.

http://hal.inria.fr/hal-00624832/en
61O. Teytaud, S. Flory.

Upper Confidence Trees with Short Term Partial Information, in: EvoGames 2011, Turino, Italy, Lecture Notes in Computer Science, Springer, 2011, vol. 6624, p. 153-162. [ DOI : 10.1007/978-3-642-20525-5 ]

http://hal.inria.fr/inria-00585475/en
62O. Teytaud, M. Sebag.

Combining Myopic Optimization and Tree Search: Application to MineSweeper, in: Proc. LION'6, Y. Hamadi, M. Schoenauer (editors), LNCS, Springer Verlag, 2012.
63F. Teytaud, O. Teytaud.

Lemmas on Partial Observation, with Application to Phantom Games, in: Computational Intelligence and Games, Seoul, Korea, Democratic People'S Republic Of, September 2011.

http://hal.inria.fr/inria-00625794/en
64S. Thiriot, Z. Lewkovicz, P. Caillou, J.-D. Kant.

Referral hiring and labor markets: a computational study, in: Artificial Economics 2011, The Hague, Netherlands, S. Osinga, G. J. Hofstede, T. Verwaart (editors), LNEMS, Springer-Verlag, September 2011, vol. 652, p. 15-25.

http://hal.inria.fr/inria-00579625/en
65M. Yagoubi, L. Thobois, M. Schoenauer.

Asynchronous Evolutionary Multi-Objective Algorithms with heterogeneous evaluation costs, in: IEEE Congress on Evolutionary Computation, CEC 2011, New Orleans, LA, United States, June 2011, p. 21-28.

http://hal.inria.fr/hal-00625318/en

National Conferences with Proceeding

66J. Atif, C. Hudelot, I. Bloch.

Abduction dans les logiques de description : apport de l'analyse formelle de concepts et de la morphologie mathématique, in: Représentation et Raisonnement sur le Temps et l'Espace (Atelier RTE 2011), Chambery, France, May 2011, p. 405-408.
67N. Galichet, M. Sebag.

Exploration prudente: une approche par méthode de Monte-Carlo arborescente contrainte, in: Proc. Reconnaissance des Formes et Intelligence Artificielle, January 2012, to appear.
68C. Germain-Renaud.

Modèles comportementaux de la grille : enjeux et exemples, in: Premières journées scientifiques France-Grilles, Lyon, France, September 2011.

http://hal.inria.fr/inria-00632438/en

Conferences without Proceedings

69R. Bardenet, B. Kégl, G. Fort.

Relabelling MCMC Algorithms in Bayesian Mixture Learning, in: Snowbird Learning Workshop, Fort Lauderdale, United States, April 2011.

http://hal.inria.fr/in2p3-00590956/en
70P. Caillou, E.-P. Gallié, V. Mérindol, T. Weil.

Caractérisation et typologie du contexte initial des pôles, in: 7e congrés de l'Académie de l'entrepreneuriat et de l'innovation, Paris, France, October 2011.

http://hal.inria.fr/hal-00653037/en/
71A. Couëtoux, O. Teytaud, N. Bonnard, N. Omont, O. Ratier.

Monte Carlo Tree Search appliqué à la gestion de stocks, in: ROADEF 2011, France, March 2011, p. N241, p.I-149.

http://hal.inria.fr/hal-00623668/en
72E.-P. Gallié, V. Mérindol, P. Caillou, T. Weil.

Les pôles de compétitivité français en fonction de leur contexte initial d'émergence : essai de caractérisation, in: EvoReg 2011, Strasbourg, France, October 2011.

http://hal.inria.fr/hal-00653036/en/
73X. Zhou, P. Caillou, J. Gil-Quijano.

Automated observation of complex systems simulations, in: V2CS 2011, Paris, France, November 2011.

http://hal.inria.fr/hal-00644639/en

Scientific Books (or Scientific Book chapters)

74A. Arbelaez, Y. Hamadi, M. Sebag.

Continuous Search in Constraint Programming, in: Autonomous Search, Y. Hamadi, E. Monfroy, F. Saubion (editors), Springer-Verlag, 2011.
75S. Doncieux, N. Bredeche, J.-B. Mouret.

New Horizons in Evolutionary Robotics, Springer, 2011.

http://hal.inria.fr/inria-00566890/en
76S. Doncieux, J.-B. Mouret, N. Bredeche, V. Padois.

Evolutionary Robotics: Exploring New Horizons, in: New Horizons in Evolutionary Robotics, Studies in Computational Intelligence, Springer, 2011, p. 3-25.

http://hal.inria.fr/inria-00566896/en
77J.-K. Hao, P. Legrand, P. Collet, N. Monmarché, E. Lutton, M. Schoenauer.

Artificial Evolution 2011, LNCS, Springer Verlag, 2012, To appear.

http://hal.inria.fr/hal-00643404/en
78J.-M. Montanier, N. Bredeche.

Embedded Evolutionary Robotics: The (1+1)-Restart-Online Adaptation Algorithm, in: New Horizons in Evolutionary Robotics, Studies in Computational Intelligence, Springer, 2011, p. 155-169.

http://hal.inria.fr/inria-00566898/en
79O. Teytaud.

Lower Bounds for Evolution Strategies, in: Theory of Randomized Search Heuristics, A. Auger, B. Doerr (editors), Series on Theoretical Computer Science, World Scientific, May 2011, vol. 1, p. 327-354.

http://hal.inria.fr/inria-00593179/en

Internal Reports

80N. Hansen, S. Finck, R. Ros.

COCO - COmparing Continuous Optimizers : The Documentation, INRIA, May 2011, n^o RT-0409.

http://hal.inria.fr/inria-00597334/en
81N. Hansen.

A CMA-ES for Mixed-Integer Nonlinear Optimization, INRIA, October 2011, n^o RR-7751.

http://hal.inria.fr/inria-00629689/en
82N. Hansen.

Injecting External Solutions Into CMA-ES, INRIA, October 2011, n^o RR-7748.

http://hal.inria.fr/inria-00628254/en
83V. Martin, J.-M. Lasgouttes, C. Furtlehner.

The Role of Normalization in the Belief Propagation Algorithm, INRIA, January 2011, n^o RR-7514.

http://hal.inria.fr/inria-00558444/en

Other Publications

84R. Akrour, M. Schoenauer, M. Sebag.

Preference-based Reinforcement Learning, 2011, NIPS Workshop on Choice Models and Preference Learning.
85L. Arnold, A. Auger, N. Hansen, Y. Ollivier.

Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles, 2011, submitted.

http://hal.inria.fr/hal-00601503/en
86D. Auger.

Multiple Tree for Partially Observable Monte-Carlo Tree Search, 2011, submitted.

http://hal.inria.fr/hal-00563480/en
87E. Descamps, C. Furtlehner, M. Schoenauer.

, 2011, Work in progress.
88C. Furtlehner, J.-M. Lasgouttes, M. Samsonov.

One-dimensional Particle Processes with Acceleration/Braking Asymmetry, 2011, arXiv:1109.1761, submitted to J. Stat. Phys..
89V. Martin, C. Furtlehner, J.-M. Lasgouttes.

Encoding Dependencies between real-valued observables with a binary latent MRF, 2011, submitted to AISTAT.

References in notes

90C. Candan, J. Dréo, P. Savéant, V. Vidal.

Parallel Divide-and-Evolve: Experiments with OpenMP on a Multicore Machine, in: Proc. GECCO, N. Kranogor (editor), ACM Press, 2011, p. 1571-1579.
91S. Chevallier, H. Paugam-Moisy, M. Sebag.

SpikeAnts: a spiking neuron network modelling the emergence of organization in a complex system, in: Advances in Neural Information Processing Systems 23, Vancouver, December 2010, p. 114-119.
92B. Frey, D. Dueck.

Clustering by passing messages between data points, in: Science, 2007, vol. 315, p. 972–976.
93J.-B. Hoock, C.-S. Lee, A. Rimmel, F. Teytaud, O. Teytaud, M.-H. Wang.

Intelligent Agents for the Game of Go, in: IEEE Computational Intelligence Magazine, November 2010.

http://hal.inria.fr/inria-00544758/en/
94J. O. Kephart, D. M. Chess.

The vision of autonomic computing, in: Computer, 2003, vol. 36, p. 41-50.
95C.-S. Lee, M.-H. Wang, O. Teytaud, Y.-L. Wang.

The Game of Go @ IEEE WCCI 2010, in: IEEE Computational Intelligence Magazine, 2010, vol. 5, n^o 4, p. 6-7. [ DOI : 10.1109/MCI.2010.938371 ]

http://hal.inria.fr/inria-00632302/en/
96K. Li, Á. Fialho, S. Kwong.

Multi-Objective Differential Evolution with Adaptive Control of Parameters and Operators, in: LION'11: Proceedings of the 5th International Conference on Learning and Intelligent OptimizatioN, C. A. Coello Coello (editor), LNCS 6683, Springer Verlag, January 2011, p. 473-4887.
97G. Moore.

Crossing the Chasm: Marketing and Selling High-Tech Products to Mainstream Customer, Collins Business Essentials, 1991.
98I. Rechenberg.

Evolutionstrategie: Optimierung Technisher Systeme nach Prinzipien des Biologischen Evolution, Fromman-Hozlboog Verlag, 1973.
99I. Rish, M. Brodie, S. Ma, N. Odintsova, A. Beygelzimer, G. Grabarnik, K. Hernandez.

daptive diagnosis in distributed dystems, in: IEEE Transactions on Neural Networks (special issue on Adaptive Learning Systems in Communication Networks), 2005, vol. 16, p. 1088-1109.

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