An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications.

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An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications.

Hyper-heuristic is a new methodology for the adaptive hybridization of meta-heuristic algorithms to derive a general algorithm for solving optimization problems. This work focuses on the selection type of hyper-heuristic, called the exponential Monte Carlo with counter (EMCQ). Current implementation...

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Bibliographic Details
Main Authors:	S. Ahmed, Bestoun, Enoiu, Eduard, Afzal, Wasif, Kamal Z., Zamli
Format:	Article
Language:	English
Published:	Springer 2020
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software
Online Access:	https://umpir.ump.edu.my/id/eprint/29225/

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