9 search results - page 1 / 2 » Exploiting gradient information in numerical multi--objectiv... |
GECCO
2005
Springer
13 years 10 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
13 years 11 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
13 years 9 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 4 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
13 years 5 months ago
2008
Springer
In recent years, the development of multi-objective evolutionary algorithms (MOEAs) hybridized with mathematical programming techniques has significantly increased. However, most...