TY - JOUR
T1 - Generalized asymptotic functions in nonconvex multiobjective optimization problems
AU - Lara, F.
N1 - Publisher Copyright:
© 2016 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2017/8/3
Y1 - 2017/8/3
N2 - In this paper, we use generalized asymptotic functions and second-order asymptotic cones to develop a general existence result for the nonemptiness of the proper efficient solution set and a sufficient condition for the domination property in nonconvex multiobjective optimization problems. A new necessary condition for a point to be efficient or weakly efficient solution is given without any convexity assumption. We also provide a finer outer estimate for the asymptotic cone of the weakly efficient solution set in the quasiconvex case. Finally, we apply our results to the linear fractional multiobjective optimization problem.
AB - In this paper, we use generalized asymptotic functions and second-order asymptotic cones to develop a general existence result for the nonemptiness of the proper efficient solution set and a sufficient condition for the domination property in nonconvex multiobjective optimization problems. A new necessary condition for a point to be efficient or weakly efficient solution is given without any convexity assumption. We also provide a finer outer estimate for the asymptotic cone of the weakly efficient solution set in the quasiconvex case. Finally, we apply our results to the linear fractional multiobjective optimization problem.
KW - Quasiconvexity
KW - asymptotic functions
KW - linear fractional programming
KW - nonconvex vector optimization
KW - second-order asymptotic cones
UR - https://www.scopus.com/pages/publications/84988318661
U2 - 10.1080/02331934.2016.1235162
DO - 10.1080/02331934.2016.1235162
M3 - Article
AN - SCOPUS:84988318661
SN - 0233-1934
VL - 66
SP - 1259
EP - 1272
JO - Optimization
JF - Optimization
IS - 8
ER -