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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
9 years 10 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
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...
Shimon Whiteson, Peter Stone
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
9 years 10 months ago
Credit assignment in adaptive evolutionary algorithms
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...
James M. Whitacre, Q. Tuan Pham, Ruhul A. Sarker
GECCO
2006
Springer
129views Optimization» more  GECCO 2006»
9 years 10 months ago
Use of statistical outlier detection method in adaptive evolutionary algorithms
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...
James M. Whitacre, Q. Tuan Pham, Ruhul A. Sarker
GECCO
2006
Springer
174views Optimization» more  GECCO 2006»
9 years 10 months ago
Optimizing of NC tool paths for five-axis milling using evolutionary algorithms on wavelets
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...
Klaus Weinert, Andreas Zabel, Heinrich Müller...
GECCO
2006
Springer
213views Optimization» more  GECCO 2006»
9 years 10 months ago
Evolutionary unit testing of object-oriented software using strongly-typed genetic programming
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...
Stefan Wappler, Joachim Wegener
GECCO
2006
Springer
215views Optimization» more  GECCO 2006»
9 years 10 months ago
A multi-chromosome approach to standard and embedded cartesian genetic programming
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...
James Alfred Walker, Julian Francis Miller, Rachel...
GECCO
2006
Springer
216views Optimization» more  GECCO 2006»
9 years 10 months ago
Comparative analysis of the sailor assignment problem
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...
Joseph Vannucci, Deon Garrett, Dipankar Dasgupta
GECCO
2006
Springer
145views Optimization» more  GECCO 2006»
9 years 10 months ago
A quantitative study of neutrality in GP boolean landscapes
Leonardo Vanneschi, Yuri Pirola, Philippe Collard
GECCO
2006
Springer
143views Optimization» more  GECCO 2006»
9 years 10 months ago
Heterogeneous cooperative coevolution: strategies of integration between GP and GA
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...
Leonardo Vanneschi, Giancarlo Mauri, Andrea Valsec...
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