937 search results - page 24 / 188 » Hybrid Evolutionary Algorithm for Solving Global Optimizatio... |
GECCO
2009
Springer
14 years 1 months ago
2009
Springer
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
In this paper, we describe the use of an evolutionary algorithm (EA) to solve dynamic control optimization problems in engineering. In this class of problems, a set of control var...
ICNC
2009
Springer
14 years 3 months ago
2009
Springer
—Genetic algorithm (GA) is too dependent on the initial population and a lack of local search ability. In this paper, an improved greedy genetic algorithm (IGAA) is proposed to o...
NCA
2007
IEEE
13 years 8 months ago
2007
IEEE
Designing drugs is a current problem in the pharmaceutical research. By designing a drug we mean to choose some variables of drug formulation (inputs), for obtaining optimal charac...
ICTAI
2009
IEEE
13 years 6 months ago
2009
IEEE
This paper describes a noise-aware dominance operator for evolutionary algorithms to solve the multiobjective optimization problems (MOPs) that contain noise in their objective fu...