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GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
14 years 3 months ago
The role of diverse populations in phylogenetic analysis
The most popular approaches for reconstructing phylogenetic trees attempt to solve NP-hard optimization criteria such as maximum parsimony (MP). Currently, the bestperforming heur...
Tiffani L. Williams, Marc L. Smith
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
14 years 3 months ago
Robustness in cooperative coevolution
Though recent analysis of traditional cooperative coevolutionary algorithms (CCEAs) casts doubt on their suitability for static optimization tasks, our experience is that the algo...
R. Paul Wiegand, Mitchell A. Potter
GECCO
2006
Springer
205views Optimization» more  GECCO 2006»
14 years 3 months ago
Alternative evolutionary algorithms for evolving programs: evolution strategies and steady state GP
In contrast with the diverse array of genetic algorithms, the Genetic Programming (GP) paradigm is usually applied in a relatively uniform manner. Heuristics have developed over t...
L. Darrell Whitley, Marc D. Richards, J. Ross Beve...
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
14 years 3 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»
14 years 3 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»
14 years 3 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»
14 years 3 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»
14 years 3 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»
14 years 3 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
149views Optimization» more  GECCO 2006»
14 years 3 months ago
Leveraging domain-expert knowledge in a genetic algorithm for civil engineering design optimization
Hoa Vo, Justin Terada, David Joslin, Jeff Dragovic...