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GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
14 years 2 months ago
An analysis of the effects of population structure on scalable multiobjective optimization problems
Multiobjective evolutionary algorithms (MOEA) are an effective tool for solving search and optimization problems containing several incommensurable and possibly conflicting objec...
Michael Kirley, Robert L. Stewart
IPPS
2002
IEEE
14 years 27 days ago
Next Generation System Software for Future High-End Computing Systems
Future high-end computers will offer great performance improvements over today’s machines, enabling applications of far greater complexity. However, designers must solve the cha...
Guang R. Gao, Kevin B. Theobald, Ziang Hu, Haiping...
FOCS
1999
IEEE
14 years 8 days ago
A Probabilistic Algorithm for k-SAT and Constraint Satisfaction Problems
We present a simple probabilistic algorithm for solving kSAT, and more generally, for solving constraint satisfaction problems (CSP). The algorithm follows a simple localsearch pa...
Uwe Schöning
SMC
2007
IEEE
14 years 2 months ago
Enhancing embodied evolution with punctuated anytime learning
—This paper discusses a new implementation of embodied evolution that uses the concept of punctuated anytime learning to increase the complexity of tasks that the learning system...
Gary B. Parker, Gregory E. Fedynyshyn
ISSTA
1998
ACM
14 years 6 days ago
Automatic Test Data Generation Using Constraint Solving Techniques
Automatic test data generation leads to identify input values on which a selected point in a procedure is executed. This paper introduces a new method for this problem based on co...
Arnaud Gotlieb, Bernard Botella, Michel Rueher