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145
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CP
2000
Springer
15 years 7 months ago
Optimal Anytime Constrained Simulated Annealing for Constrained Global Optimization
Abstract. In this paper we propose an optimal anytime version of constrained simulated annealing (CSA) for solving constrained nonlinear programming problems (NLPs). One of the goa...
Benjamin W. Wah, Yixin Chen
111
Voted
GECCO
2004
Springer
15 years 8 months ago
How to Overcome the Equivalent Mutant Problem and Achieve Tailored Selective Mutation Using Co-evolution
The use of Genetic Algorithms in evolution of mutants and test cases offers new possibilities in addressing some of the main problems of mutation testing. Most specifically the p...
Konstantinos Adamopoulos, Mark Harman, Robert M. H...
159
Voted
CBMS
2007
IEEE
15 years 9 months ago
An Unsupervised and Fully-Automated Image Analysis Method for cDNA Microarrays
Microarray gene expression image analysis is a labor-intensive task and requires human intervention since microarray images are contaminated with noise and artifacts while spots a...
Eleni Zacharia, Dimitrios E. Maroulis
130
Voted
DATE
1999
IEEE
162views Hardware» more  DATE 1999»
15 years 7 months ago
MOCSYN: Multiobjective Core-Based Single-Chip System Synthesis
In this paper, we present a system synthesis algorithm, called MOCSYN, which partitions and schedules embedded system specifications to intellectual property cores in an integrate...
Robert P. Dick, Niraj K. Jha
123
Voted
GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
15 years 9 months ago
Characterizing the genetic programming environment for fifth (GPE5) on a high performance computing cluster
Solving complex, real-world problems with genetic programming (GP) can require extensive computing resources. However, the highly parallel nature of GP facilitates using a large n...
Kenneth Holladay