Please check back soon for a complete list of illustrative references that reflect the joint expertise of the developers of GANSO.

 

Bagirov, A., (1999). Derivative-free methods for unconstrained nonsmooth optimization and its numerical analysis, Journal Investigacao Operacional, 19, 75.

Bagirov, A., (2002). A method for minimization of quasidifferentiable functions, Optimization Methods and Software, 17, 31.

Bagirov, A.; Rubinov, A., (2001). Modified versions of the cutting angle method, in Convex analysis and global optimization; N. Hadjisavvas and P. M. Pardalos, eds.; Kluwer: Dordrecht, Vol. 54; p 245.

Bagirov, A.; Rubinov, A., (2000). Global minimization of increasing positively homogeneous function over the unit simplex, Annals of Operations Research, 98, 171.

Bagirov, A.; Rubinov, A., (2003). Cutting angle method and a local search, Journal of Global Optimization, 27, 193.

Bagirov, A., (2000). Numerical methods for minimizing quasidifferentiable functions: A survey and comparison, in Quasidifferentiability and Related Topics; V. F. Demyanov and A. M. Rubinov, eds.; p 33, KLUWER ACADEMIC PUBL.

Beliakov, G., (2003). Geometry and combinatorics of the cutting angle method, Optimization, 52, 379.

Beliakov, G., (2004). The Cutting Angle Method - a tool for constrained global optimization, Optimization Methods and Software, 19, 137.

Beliakov, G., (2005). Extended Cutting Angle method of constrained global optimization, in Optimisation in Industry; L. Caccetta, ed.; Kluwer: Dordrecht; p xx.

Beliakov, G., (2005). A review of applications of the Cutting Angle methods, in Continuous Optimization; A. Rubinov and V. Jeyakumar, eds.; Springer: New York; p 209.

Beliakov, G.; Bagirov, A.; Monsalve, J. E., (2003). Parallelization of the discrete gradient method of non-smooth optimization and its applications, in Proceedings of the 3rd International Conference on Computational ScienceSpringer-Verlag: Heidelberg; Vol. 3; p 592.

Beliakov, G.; Ting, K. M.; Murshed, M.; Rubinov, A.; Bertoli, M., (2003). Efficient Serial and Parallel Implementations of the Cutting Angle Method, in High Performance Algorithms and Software for Nonlinear Optimization; G. Di Pillo, ed.; Kluwer Academic Publishers: p 57.

Mammadov, M.A. (2004). A new global optimization algorithm based on dynamical systems approach. In: Alex Rubinov and Moshe Sniedovich (Editors), Proceedings of The Sixth International Conference on Optimization: Techniques and Applications (ICOTA6), Ballarat, December 2004, Article index number 198 (94th article), 11pp. University of Ballarat, also in: Research Report 04/04, University of Ballarat, 2004, http://www.ballarat.edu.au/ard/itms/publications/researchPapers.shtml

Mammadov, M.A. and Orsi, R., (2005). H_infinity systhesis via a nonsmooth, nonconvex optimization approach, Pacific Journal of Optimization, Volume 1, Number 2, May 2005, pp. 405-420.

Mammadov, M.A., Rubinov A. and Jearwood, J., (2005). Dynamical systems described by relational elasticities with applications to global optimization. In: Continuous Optimisation: Current Trends and Modern Applications, V.Jeyakumar and A. Rubinov, Eds. Springer, pp. 365-385.

 

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