A genetic type-2 fuzzy logic based approach for the optimal allocation of mobile field engineers to their working areas.
Andrew StarkeyHani HagrasSiddhartha ShakyaGilbert OwusuPublished in: FUZZ-IEEE (2015)
Keyphrases
- optimal allocation
- postgraduate students
- undergraduate students
- computational intelligence
- graduate students
- mobile phone
- related fields
- computer science
- mobile devices
- resource allocation
- social welfare
- future trends
- academia and industry
- neural network
- mobile learning
- computer scientists
- incomplete information
- optimization algorithm
- context aware
- low cost
- cost function
- reinforcement learning
- decision making