118 search results - page 13 / 24 » Viewing Scheduling Problems through Genetic and Evolutionary... |
GECCO
2010
Springer
13 years 7 months ago
2010
Springer
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
TEC
2002
13 years 7 months ago
2002
We investigate the application of genetic algorithms (GAs) for recognizing real two-dimensional (2-D) or three-dimensional (3-D) objects from 2-D intensity images, assuming that th...
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
As the Flexible Job Shop Scheduling Problem (or FJSP) is strongly NP-hard, using an evolutionary approach to find near-optimal solutions requires effective chromosome representatio...
CEC
2008
IEEE
14 years 2 months ago
2008
IEEE
— This paper presents a genetic algorithm (GA) with a stress-based crossover (SX) operator to obtain a solution without checkerboard patterns for multi-constrained topology optim...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
This paper describes the development of an evolutionary algorithm called Multipopulation Cooperative Coevolutionary Programming (MCCP) that extends Genetic Programming (GP) to sea...