Abstract
AbstractThe aim of this paper is to deepen the study of solution methods for rank-two nonconvex problems with polyhedral feasible region, expressed by means of equality, inequality and box constraints, and objective function in the form of $$\phi \left( c^Tx+c_0,\frac{d^Tx+d_0}{b^Tx+b_0}\right) $$
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or $$\bar{\phi }\left( \frac{\bar{c}^Ty+\bar{c}_0}{a^Ty+a_0}, \frac{d^Ty+d_0}{b^Ty+b_0}\right) $$
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. These problems arise in bicriteria programs, quantitative management science, data envelopment analysis, efficiency analysis and performance measurement. Theoretical results are proved and applied to propose a solution algorithm. Computational results are provided, comparing various splitting criteria.
Publisher
Springer Science and Business Media LLC
Reference32 articles.
1. Avriel, M., Diewert, W.E., Schaible, S., Zang, I.: Generalized concavity. SIAM Class. Appl. Math. (2010). https://doi.org/10.1137/1.9780898719437
2. Applied optimization;EB Bajalinov,2003
3. Combinatorial Optimization;AI Barros,1998
4. Bomze, I.M., Csendes, T., Horst, R., (eds).: Developments in Global Optimization. Nonconvex Optimization and its Applications, vol.18, Kluwer Academic Publishers, Dordrecht (1997)
5. Cambini, A., Martein, L.: Generalized convexity and optimization: theory and applications. In: Lecture notes in economics and mathematical systems, vol. 616. Springer, Berlin (2009)