Title :
Sufficient Conditions of e -Optimality Solutions Involving e - Invex Fractional Semi-infinite Programming
Author :
Yang, Yong ; Mu, RuiJin ; Lian, TieYan
Author_Institution :
Fac. of Sci., Shaanxi Univ. of Sci. & Technol., Xi´´an, China
Abstract :
Some kinds of generalized convex function are defined, which generalize some of the present convex functions. Then, a class of fractional semi-infinite programming involving these generalized convex functions is studied; some interesting sufficient epsiv - optimality conditions are obtained. These results not only extended several present researches, but also can be applied to fractional programming problems arising from portfolio selection, cargo-loading problem, information transfer, agricultural panning, stochastic processes and numerical analysis etc. Theoretically, they are helpful to studying fractional programming.
Keywords :
convex programming; generalized convex function; invex fractional semi-infinite programming; optimality solution; Functional programming; Numerical analysis; Portfolios; Process planning; Pulp and paper industry; Resource management; Stochastic processes; Sufficient conditions; Fractional Semi-infinite Programming; e - invex function; e -Optimality Solutions;
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
DOI :
10.1109/CSO.2009.243