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GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
13 years 11 months ago
Transition models as an incremental approach for problem solving in evolutionary algorithms
This paper proposes an incremental approach for building solutions using evolutionary computation. It presents a simple evolutionary model called a Transition model in which parti...
Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, J...
ISSTA
1998
ACM
13 years 9 months 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
PPSC
1997
13 years 6 months ago
Case Studies in Protein Structure Prediction with Real-valued Genetic Algorithms
Accurate and reliable protein structure prediction (PSP) eludes researchers primarily becausethe searchfor theminimumenergyconformeris computationallyintractable. This research di...
Charles E. Kaiser, Laurence D. Merkle, Gary B. Lam...
FLOPS
2008
Springer
13 years 7 months ago
Integrating Answer Set Reasoning with Constraint Solving Techniques
Abstract. The paper introduces a collection of knowledge representation languages, V(C), parametrised over a class C of constraints. V(C) is an extension of both CR-Prolog and CASP...
Veena S. Mellarkod, Michael Gelfond
IJCAI
2007
13 years 6 months ago
Constraint Partitioning for Solving Planning Problems with Trajectory Constraints and Goal Preferences
The PDDL3 specifications include soft goals and trajectory constraints for distinguishing highquality plans among the many feasible plans in a solution space. To reduce the compl...
Chih-Wei Hsu, Benjamin W. Wah, Ruoyun Huang, Yixin...