NSGA-II based energy efficient scheduling in real-time embedded systems for tasks with deadlines and execution times as type-2 fuzzy numbers.
Rahul NathAmit K. ShuklaPranab K. MuhuriQ. M. Danish LohaniPublished in: FUZZ-IEEE (2013)
Keyphrases
- energy efficient
- execution times
- fuzzy numbers
- nsga ii
- multi objective
- real time embedded systems
- wireless sensor networks
- communication delays
- energy consumption
- sensor networks
- multi objective optimization
- multiobjective optimization
- evolutionary algorithm
- test problems
- evolutionary multiobjective
- pareto optimal
- fuzzy linear programming
- multi criteria
- real numbers
- fuzzy sets
- multi objective evolutionary algorithms
- energy efficiency
- optimal solution
- genetic algorithm
- multiple objectives
- scheduling problem
- optimization problems
- fitness function
- optimization algorithm
- differential evolution
- pattern recognition
- tabu search
- response time
- branch and bound algorithm
- base station
- benchmark problems
- routing protocol
- particle swarm optimization
- objective function
- artificial intelligence