9 search results - page 1 / 2 » Exploiting gradient information in numerical multi--objectiv... |
GECCO
2005
Springer
14 years 4 months ago
2005
Springer
Various multi–objective evolutionary algorithms (MOEAs) have obtained promising results on various numerical multi– objective optimization problems. The combination with gradi...
CEC
2008
IEEE
14 years 5 months ago
2008
IEEE
—Evolutionary gradient search is a hybrid algorithm that exploits the complementary features of gradient search and evolutionary algorithm to achieve a level of efficiency and r...
GECCO
2003
Springer
14 years 4 months ago
2003
Springer
While genetically inspired approaches to multi-objective optimization have many advantages over conventional approaches, they do not explicitly exploit directional/gradient informa...
EC
2000
13 years 11 months ago
2000
In this paper, we provide a systematic comparison of various evolutionary approaches to multiobjective optimization using six carefully chosen test functions. Each test function i...
GECCO
2008
Springer
14 years 7 days ago
2008
Springer
In recent years, the development of multi-objective evolutionary algorithms (MOEAs) hybridized with mathematical programming techniques has significantly increased. However, most...