Cloud scale distributed evolutionary strategies for high dimensional problems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7835 LNCS, Issue , 2013, Pages 519-528

  Wilson, Dennis ^a   Veeramachaneni, Kalyan ^a   O'Reilly, Una May ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EVOLUTIONARY ALGORITHMS; WIND POWER;

COVARIANCE MATRIX ADAPTATION; DISTRIBUTED SAMPLINGS; DISTRIBUTION MODELS; DYNAMIC MIGRATION; EVOLUTIONARY STRATEGIES; HIGH-DIMENSIONAL PROBLEMS; PEER-TO-PEER COMMUNICATION PROTOCOLS; REAL-WORLD PROBLEM;

COVARIANCE MATRIX;

EID: 84875656381     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-37192-9_52     Document Type: Conference Paper

References (12)

1. Hansen, N.: The CMA evolution strategy: a comparing review. In: Lozano, J.A., Larranaga, P., Inza, I., Bengoetxea, E. (eds.) Towards a New Evolutionary Computation. Advances in Estimation of Distribution Algorithms, pp. 75-102. Springer (2006)
2. Alba, E.: Parallel metaheuristics: a new class of algorithms, vol. 47.Wiley-Interscience (2005)
3. Tomassini, M.: Spatially structured evolutionary algorithms. Springer (2005)
4. Nedjah, N., Alba, E., de Macedo Mourelle, L.: Parallel Evolutionary Computations. Springer (2006)
5. Cantú-Paz, E.: Efficient and accurate parallel genetic algorithms. Springer, Netherlands (2000)
6. Zhu, W.: Nonlinear optimization with a massively parallel evolution strategy pattern search algorithm on graphics hardware. Applied Soft Computing 11(2), 1770 (2011)
7. Müller, C.L., Baumgartner, B., Ofenbeck, G., Schrader, B., Sbalzarini, I.: pcmalib: a parallel fortran 90 library for the evolution strategy with covariance matrix adaptation. In: Proceedings of the 11th Annual Conference on Genetic and Evolutionary Computation, pp. 1411-1418. ACM (2009)
8. Rubio-Largo, Á., González-Álvarez, D.L., Vega-Rodríguez, M.A., Almeida-Luz, S.M., Gómez-Pulido, J.A., Sánchez-Pérez, J.M.: A Parallel Cooperative Evolutionary Strategy for Solving the Reporting Cells Problem. In: Corchado, E., Novais, P., Analide, C., Sedano, J. (eds.) SOCO 2010. AISC, vol. 73, pp. 71-78. Springer, Heidelberg (2010)
9. Rudolph, G.: Global Optimization by Means of Distributed Evolution Strategies. In: Schwefel, H.-P., Männer, R. (eds.) PPSN 1990. LNCS, vol. 496, pp. 209-213. Springer, Heidelberg (1991)
10. Gunarathne, T., Wu, T.L., Qiu, J., Fox, G.: Mapreduce in the clouds for science. In: 2010 IEEE Second International Conference on Cloud Computing Technology and Science (CloudCom), November 30-December 3, pp. 565-572 (2010)
11. Verma, A., Llora, X., Goldberg, D., Campbell, R.: Scaling genetic algorithms using mapreduce. In: Ninth International Conference on Intelligent Systems Design and Applications, ISDA 2009, November 30-December 2, pp. 13-18 (2009)
12. Kusiak, A., Song, Z.: Design of wind farm layout for maximum wind energy capture. Renewable Energy 35(3), 685-694 (2010)