294 search results - page 12 / 59 » Evolution of Fitness Functions to Improve Heuristic Performa... |
113
Voted
GECCO
2011
Springer
14 years 3 months ago
2011
Springer
This paper introduces mirrored sampling into evolution strategies (ESs) with weighted multi-recombination. Two further heuristics are introduced: pairwise selection selects at mos...
102
click to vote
FLAIRS
2001
15 years 1 months ago
2001
In this paper, we argue that KBS validation should not be limited to testing functional properties of the system, such as its input - output behavior, but must also address its dy...
116
click to vote
GECCO
2004
Springer
2004
Springer
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
15 years 5 months ago
In this paper, we present an extension of the heuristic called “particle swarm optimization” (PSO) that is able to deal with multiobjective optimization problems. Our approach ...
101
click to vote
GECCO
2007
Springer
15 years 5 months ago
2007
Springer
The dynamic optimization problem concerns finding an optimum in a changing environment. In the tracking problem, the optimizer should be able to follow the optimum’s changes ov...
165
Voted
GECCO
2011
Springer
14 years 3 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...