We establish the Kuhn-Tucker sufficient optimally conditions for a class of generalized minimax fractional programming involving pseudoconvex and quasiconvex functions. Subsequently, these optimality criteria are utilized as a basis for constructing three dual models and certain duality results have been derived in the framework of generalized convex functions.
|Number of pages||17|
|Publication status||Published - 1997 Jan 1|
All Science Journal Classification (ASJC) codes
- Control and Optimization
- Management Science and Operations Research
- Applied Mathematics