Title

Hybrid Mesh Adaptive Direct Search and Genetic Algorithms Techniques for industrial production systems

Journal title

Archives of Control Sciences

Yearbook

2011

Issue

No 3

Authors

Pandian Vasant

Divisions of PAS

Nauki Techniczne

Publisher

Committee of Automatic Control and Robotics PAS

Date

2011

Identifier

DOI: 10.2478/v10170-010-0045-0 ; ISSN 1230-2384

Source

Archives of Control Sciences; 2011; No 3

References

Audet C. (2007), Mesh adaptive direct search algorithms for constrained optimization, SIAM Journal on Optimization, 17, 1, 188, doi.org/10.1137/040603371 ; Audet C. (2004), Convergence results for pattern search algorithms are tight, Optimization and Engineering, 5, 2, 101, doi.org/10.1023/B:OPTE.0000033370.66768.a9 ; Abramson M. (2004), Generalized pattern searches with derivative information, Mathematical Programming, 100, 3. ; Audet C. (2003), Analysis of generalized pattern searches, SIAM Journal on Optimization, 13, 3, 889, doi.org/10.1137/S1052623400378742 ; Chapman S. (2002), MATLAB programming for engineers. ; Coope I. (2001), On the convergence of grid-based methods for unconstrained optimization, SIAM Journal on Optimization, 11, 4, 859, doi.org/10.1137/S1052623499354989 ; Davis C. (1954), Theory of positive linear dependence, American J. of Mathematics, 76, 733, doi.org/10.2307/2372648 ; Gilat A. (2005), MATLAB. An introduction with applications. ; Gen M. (1996), Genetic Algorithms and Engineering Design, doi.org/10.1002/9780470172254 ; Honggang W. (1997), The hybrid genetic algorithm for solving nonlinear programming, null. ; Goldberg D. (1989), Genetic Algorithms in search optimization and machine learning. ; Jiménez F. (2006), Multi-objective evolutionary computation and fuzzy optimization, Int. J. of Approximate Reasoning, 43, 59, doi.org/10.1016/j.ijar.2006.02.001 ; MATLAB user's Guide. The MathWorks, 2007. ; Vasant P. (2009), Hybrid genetic algorithms and line search method for industrial production planning with non-linear fitness function, Engineering Applications of Artificial Intelligence, 22, 4-5, 767, doi.org/10.1016/j.engappai.2009.03.010 ; Vasant P. (2010), Hybrid simulated annealing and genetic algorithms for industrial production management problems, Int. J. of Computational Methods, 7, 2, 279, doi.org/10.1142/S0219876210002209 ; Vasant P. (2010), Hybrid pattern search and simulated annealing for fuzzy production planning problems, Computers and Mathematics with Application, 60, 4, 1058, doi.org/10.1016/j.camwa.2010.03.063