Multi-objective integer programming approaches for solving optimal feature selection problem a new perspective on multi-objective optimization problems in SBSE

The optimal feature selection problem in software product line is typically addressed by the approaches based on Indicator-based Evolutionary Algorithm (IBEA). In this study we first expose the mathematical nature of this problem --- multi-objective binary integer linear programming. Then, we implem...

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Veröffentlicht in:	2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE) S. 1231 - 1242
Hauptverfasser:	Xue, Yinxing, Li, Yan-Fu
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	New York, NY, USA ACM 27.05.2018
Schriftenreihe:	ACM Conferences
Schlagworte:	Encryption Feature extraction Graphical user interfaces IBED Indicator Based Evolutionary Algorithm (IBEA) IP networks Linear programming Multi Objective Integer Programming (MOIP) Multi Objective Optimization(MOO) Optimal Feature Selection Problem Optimization Software multi-objective optimization (MOO) optimal feature selection problem multi-objective integer programming (MOIP)
ISBN:	9781450356381, 1450356389
ISSN:	1558-1225
Online-Zugang:	Volltext
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