286 search results - page 40 / 58 » Development of a Genetic Algorithm for Optimization of Nanoa... |
GECCO
2009
Springer
13 years 12 months ago
2009
Springer
In this paper we describe a multi-objective problem solving approach, simultaneously minimizing average surface roughness Ra and build Time T, for object manufacturing by Rapid Pr...
CVIU
2011
12 years 11 months ago
2011
Abstract—In this paper, three approaches to utilizing objectlevel spatial contextual information for semantic image analysis are presented and comparatively evaluated. Contextual...
CEC
2008
IEEE
14 years 1 months ago
2008
IEEE
— A number of multi-objective genetic algorithms (MOGAs) have been developed to obtain Pareto optimal solutions for multi-objective optimization problems. However, as these metho...
GECCO
2010
Springer
13 years 7 months ago
2010
Springer
To complement standard fitness functions, we propose "Fitness Importance" (FI) as a novel meta-heuristic for online learning systems. We define FI and show how it can be...
GECCO
2011
Springer
12 years 10 months ago
2011
Springer
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...