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» The State Problem for Evolutionary Testing
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ICST
2009
IEEE
14 years 3 months ago
Generating Feasible Transition Paths for Testing from an Extended Finite State Machine (EFSM)
The problem of testing from an extended finite state machine (EFSM) can be expressed in terms of finding suitable paths through the EFSM and then deriving test data to follow the ...
Abdul Salam Kalaji, Robert M. Hierons, Stephen Swi...
GECCO
2004
Springer
156views Optimization» more  GECCO 2004»
14 years 1 months ago
Optimized Design of MEMS by Evolutionary Multi-objective Optimization with Interactive Evolutionary Computation
We combine interactive evolutionary computation (IEC) with existing evolutionary synthesis software for the design of micromachined resonators and evaluate its effectiveness using...
Raffi R. Kamalian, Hideyuki Takagi, Alice M. Agogi...
TAICPART
2006
IEEE
134views Education» more  TAICPART 2006»
14 years 2 months ago
Integration Testing of Components Guided by Incremental State Machine Learning
The design of complex systems, e.g., telecom services, is nowadays usually based on the integration of components (COTS), loosely coupled in distributed architectures. When compon...
Keqin Li 0002, Roland Groz, Muzammil Shahbaz
PPSN
1994
Springer
14 years 16 days ago
An Evolutionary Algorithm for Integer Programming
Abstract. The mutation distribution of evolutionary algorithms usually is oriented at the type of the search space. Typical examples are binomial distributions for binary strings i...
Günter Rudolph
GECCO
2004
Springer
147views Optimization» more  GECCO 2004»
14 years 1 months ago
A Demonstration of Neural Programming Applied to Non-Markovian Problems
Genetic programming may be seen as a recent incarnation of a long-held goal in evolutionary computation: to develop actual computational devices through evolutionary search. Geneti...
Gabriel Catalin Balan, Sean Luke