Zobrazeno 1 - 1
of 1
pro vyhledávání: '"Xiao-I Chang"'
Autor:
Xiao-I Chang, 張小艾
87
This thesis proposes an efficient generalized multiobjective evolutionary algorithm (GMOEA) using orthogonal arrays for finding all nondominated solutions of multiobjective optimization problems (MOOPs). In the proposed algorithm, a novel gen
This thesis proposes an efficient generalized multiobjective evolutionary algorithm (GMOEA) using orthogonal arrays for finding all nondominated solutions of multiobjective optimization problems (MOOPs). In the proposed algorithm, a novel gen
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/00683248016113848960
