633 search results - page 13 / 127 » Convergence Models of Genetic Algorithm Selection Schemes |
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
This paper investigates how the Univariate Marginal Distribution Algorithm (UMDA) behaves in non-stationary environments when engaging in sampling and selection strategies designe...
GECCO
2003
Springer
14 years 22 days ago
2003
Springer
This paper proposes a new mating scheme for evolutionary multiobjective optimization (EMO), which simultaneously improves the convergence speed to the Pareto-front and the diversit...
GECCO
2010
Springer
14 years 10 days ago
2010
Springer
Crowding is a technique used in genetic algorithms to preserve diversity in the population and to prevent premature convergence to local optima. It consists of pairing each offsp...
GECCO
2004
Springer
14 years 28 days ago
2004
Springer
Genetic algorithms require relatively large computation time to solve optimization problems, especially in VLSI CAD such as module placement. Therefore, island-based parallel GAs a...
ICTAI
2003
IEEE
2003
IEEE
A Diversity-Controlling Adaptive Genetic Algorithm for the Vehicle Routing Problem with Time Windows
14 years 24 days ago
This paper presents an adaptive genetic algorithm (GA) to solve the Vehicle Routing Problem with Time Windows (VRPTW) to near optimal solutions. The algorithm employs a unique dec...