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» The State Problem for Evolutionary Testing
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ENC
2003
IEEE
14 years 1 months ago
Multiobjective-Based Concepts to Handle Constraints in Evolutionary Algorithms
This paper presents the main multiobjective optimization concepts that have been used in evolutionary algorithms to handle constraints in global optimization problems. A review of...
Efrén Mezura-Montes, Carlos A. Coello Coell...
EMO
2006
Springer
182views Optimization» more  EMO 2006»
14 years 4 days ago
Multi-objective Pole Placement with Evolutionary Algorithms
Multi-Objective Evolutionary Algorithms (MOEA) have been succesfully applied to solve control problems. However, many improvements are still to be accomplished. In this paper a new...
Gustavo Sánchez, Minaya Villasana, Miguel S...
SIAMCOMP
2010
83views more  SIAMCOMP 2010»
13 years 6 months ago
Reaching and Distinguishing States of Distributed Systems
Some systems interact with their environment at physically distributed interfaces, called ports, and in testing such a system it is normal to place a tester at each port. Each test...
Robert M. Hierons
EVOW
2001
Springer
14 years 29 days ago
A Constructive Evolutionary Approach to School Timetabling
This work presents a constructive approach to the process of fixing a sequence of meetings between teachers and students in a prefixed period of time, satisfying a set of constrain...
Geraldo Ribeiro Filho, Luiz Antonio Nogueira Loren...
ICCAD
1999
IEEE
84views Hardware» more  ICCAD 1999»
14 years 23 days ago
Improving coverage analysis and test generation for large designs
State space techniques have proven to be useful for measuring and improving the coverage of test vectors that are used during functional validation via simulation. By comparing th...
Jules P. Bergmann, Mark Horowitz