A novel global optimization method- Genetic pattern search

Applied Mechanics and Materials

Volumn 44-47, Issue , 2011, Pages 3240-3244

  Zhang, Yudong ^a   Wu, Lenan ^a   Huoc, Yuankai ^a   Wang, Shuihua ^a  

^a SOUTHEAST UNIVERSITY   (China)

Author keywords

Coarse search; Fine search; Genetic algorithm; Global optimization

Indexed keywords

COARSE SEARCH; COMPUTATION TIME; FINE SEARCH; GENETIC PATTERNS; GLOBAL OPTIMIZATION METHOD; IMPROVED GA; MINIMAL POINTS; PATTERN SEARCH; TEST FUNCTIONS;

GLOBAL OPTIMIZATION; MANUFACTURE; OPTIMIZATION;

GENETIC ALGORITHMS;

EID: 78651279586     PISSN: 16609336     EISSN: 16627482     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMM.44-47.3240     Document Type: Conference Paper

References (16)

1. G. Corriveau, R. Guilbault, A. Tahan: Genetic algorithms and finite element coupling for mechanical optimization, Advances in Engineering Software, Vol. 41 (2010) p. 422-426.
2. N. Orlic, S. Loncaric: Earthquake-explosion discrimination using genetic algorithm-based boosting approach, Computers & Geosciences, Vol. 36 (2010) p. 179-185.
3. A.B. de Carvalho, A. Pozo, S.R. Vergilio: A symbolic fault-prediction model based on multiobjective particle swarm optimization, Journal of Systems and Software, Vol. 83 (2010) p. 868-882.
4. L. Moreno, S. Garrido, D. Blanco, M.L. Muñoz: Differential evolution solution to the SLAM problem, Robotics and Autonomous Systems, Vol. 57 (2009) p. 441-450.
5. H.-J. Tsai: Physician-Industry Interactions: There is No Such Thing as a Free Lunch, Taiwanese Journal of Obstetrics and Gynecology, Vol. 47 (2008) p. 252-255.
6. J. Verboomen, D. Van Hertem, P.H. Schavemaker, F.J.C.M. Spaan, J.M. Delincé, R. Belmans, W.L. Kling: Phase shifter coordination for optimal transmission capacity using particle swarm optimization, Electric Power Systems Research, Vol. 78 (2008) p. 1648-1653.
7. Y. Kuroki, G.S. Young, S.E. Haupt: UAV navigation by an expert system for contaminant mapping with a genetic algorithm, Expert Systems with Applications, Vol. 37 (2010) p. 4687-4697.
8. I. Kaya: A genetic algorithm approach to determine the sample size for attribute control charts, Information Sciences, Vol. 179 (2009) p. 1552-1566.
9. S. Kumar, C.S.P. Rao: Application of ant colony, genetic algorithm and data mining-based techniques for scheduling, Robotics and Computer-Integrated Manufacturing, Vol. 25 (2009) p. 901-908.
10. A. Jamali, A. Hajiloo, N. Nariman-zadeh: Reliability-based robust Pareto design of linear state feedback controllers using a multi-objective uniform-diversity genetic algorithm (MUGA), Expert Systems with Applications, Vol. 37 (2010) p. 401-413.
11. C.-W. Tsai, C.-H. Huang, C.-L. Lin: Structure-specified IIR filter and control design using real structured genetic algorithm, Applied Soft Computing, Vol. 9 (2009) p. 1285-1295.
12. L. Araujo, H. Zaragoza, J.R. Pérez-Agüera, J. Pérez-Iglesias: Structure of morphologically expanded queries: A genetic algorithm approach, Data & Knowledge Engineering, Vol. 69 (2010) p. 279-289.
13. T.J. Glezakos, T.A. Tsiligiridis, L.S. Iliadis, C.P. Yialouris, F.P. Maris, K.P. Ferentinos: Feature extraction for time-series data: An artificial neural network evolutionary training model for the management of mountainous watersheds, Neurocomputing, Vol. 73 (2009) p. 49-59.
14. A. Khlaifi, A. Ionescu, Y. Candau: Pollution source identification using a coupled diffusion model with a genetic algorithm, Mathematics and Computers in Simulation, Vol. 79 (2009) p. 3500-3510.
15. L. De Giovanni, F. Pezzella: An Improved Genetic Algorithm for the Distributed and Flexible Job-shop Scheduling problem, European Journal of Operational Research, Vol. 200 (2010) p. 395-408.
16. T.A. Sriver, J.W. Chrissis, M.A. Abramson: Pattern search ranking and selection algorithms for mixed variable simulation-based optimization, European Journal of Operational Research, Vol. 198 (2009) p. 878-890.