182 search results - page 14 / 37 » Morphing methods in evolutionary design optimization |
GECCO
2006
Springer
14 years 2 months ago
2006
Springer
The AI optimization algorithm called "Squeaky-Wheel Optimization" (SWO) has proven very effective in a variety of real-world applications. Although the ideas behind SWO ...
GECCO
2008
Springer
14 years 15 hour ago
2008
Springer
In this paper a new approach to solve constrained multi-objective problems by way of evolutionary multi-objective optimization is introduced. In contrast to former evolutionary ap...
AAAI
2006
14 years 10 days ago
2006
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
GECCO
2006
Springer
14 years 2 months ago
2006
Springer
We propose a hybrid algorithm (called ALPINE) between Genetic Algorithm and Dantzig's Simplex method to approximate optimal solutions for the Flexible Job-Shop Problem. Local...
GECCO
2006
Springer
14 years 2 months ago
2006
Springer
This poster paper investigates the potential of single and multiobjective genetic operators with an object-oriented conceptual design space. Using cohesion as an objective fitness...