1149 search results - page 58 / 230 » Comparing parameter tuning methods for evolutionary algorith... |
103
Voted
GLVLSI
2008
IEEE
15 years 5 months ago
2008
IEEE
Due to the large contribution of the memory subsystem to total system power, the memory subsystem is highly amenable to customization for reduced power/energy and/or improved perf...
CEC
2008
IEEE
15 years 5 months ago
2008
IEEE
— In this article we present results from experiments where a edge detector was learned from scratch by EANT2, a method for evolutionary reinforcement learning. The detector is c...
ICANNGA
2007
Springer
15 years 2 months ago
2007
Springer
Abstract. In the paper, a new method of decision tree learning for costsensitive classification is presented. In contrast to the traditional greedy top-down inducer in the proposed...
CEC
2007
IEEE
2007
IEEE
Optimizing low-thrust gravity assist interplanetary trajectories using evolutionary neurocontrollers
15 years 3 months ago
The combination of low-thrust propulsion and gravity assists allows designing high-energy missions. However the optimization of such trajectories is no trivial task. In this paper,...
TSMC
2002
14 years 10 months ago
2002
Many problems in practically all fields of science, engineering and technology involve global optimization. It becomes more and more important to develop the efficient global opti...