GECCO
2006
Springer
13 years 8 months ago
2006
Springer
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
In this paper, a new method for assigning credit to search operators is presented. Starting with the principle of optimizing search bias, search operators are selected based on an...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
In this paper, the issue of adapting probabilities for Evolutionary Algorithm (EA) search operators is revisited. A framework is devised for distinguishing between measurements of...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Computer aided NC-path generation of five-axis milling using a standard CAM-system does usually not take machine dynamics and kinematics into account. This results in machine move...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Evolutionary algorithms have successfully been applied to software testing. Not only approaches that search for numeric test data for procedural test objects have been investigate...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Embedded Cartesian Genetic Programming (ECGP) is an extension of Cartesian Genetic Programming (CGP) that can automatically acquire, evolve and re-use partial solutions in the for...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
In this work the performance of several local search and metaheuristic methods is compared to previously reported work using evolutionary algorithms. The results show that while m...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Cooperative coevolution has proven to be a promising technique for solving complex combinatorial optimization problems. In this paper, we present four different strategies which i...