Model-Driven Optimization: Generating Smart Mutation Operators for Multi-Objective Problems
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Publication type
Dataset
Access level
Open access
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Organization
Software Science
Audience(s)
Computer science
Key words
Model-Driven Optimization; Model-Driven Engineering; NSGA-II; JMetalAbstract
FitnessStudio applied on the next release problem
Generating Mutation Operators for a Search-Based Model-Driven Implementation of the Next Release Problem
based on FitnessStudio
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- Faculty of Science [38225]