17288 search results - page 53 / 3458 » Hybrid Optimizations: Which Optimization Algorithm to Use |
AAAI
2006
13 years 9 months ago
2006
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
EPS
1998
Springer
13 years 12 months ago
1998
Springer
This paper discusses a simple representation of variable-dimensional optimization problems for evolutionary algorithms. Although it was successfully applied to the optimization of ...
GECCO
2009
Springer
14 years 2 months ago
2009
Springer
Following a number of recent papers investigating the possibility of optimal comparison-based optimization algorithms for a given distribution of probability on fitness functions...
IJCAI
2007
13 years 9 months ago
2007
Markov Decision Processes are a powerful framework for planning under uncertainty, but current algorithms have difficulties scaling to large problems. We present a novel probabil...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
Genetic Algorithms (GAs) are very commonly used as function optimizers, basically due to their search capability. A number of different serial and parallel versions of GA exist. ...