Fuzzy correlation entropy-based NSGA-II for energy-efficient hybrid flow-shop scheduling problem.
Yi-Jian WangJuan LiGai-Ge WangPublished in: Knowl. Based Syst. (2023)
Keyphrases
- energy efficient
- nsga ii
- multi objective
- pareto dominance
- multi objective optimization
- evolutionary algorithm
- wireless sensor networks
- test problems
- pareto optimal
- energy consumption
- multiobjective optimization
- sensor networks
- multiobjective evolutionary algorithm
- optimization algorithm
- optimization problems
- multi objective differential evolution
- evolutionary multiobjective optimization
- evolutionary multiobjective
- constrained multi objective optimization problems
- multi objective evolutionary algorithms
- optimal solution
- genetic algorithm
- fuzzy logic
- fitness function
- multi core architecture
- bi objective
- routing protocol
- knapsack problem
- fuzzy numbers
- base station
- energy efficiency
- multi criteria
- differential evolution
- artificial intelligence
- pareto optimal solutions
- objective function
- particle swarm optimization
- mobile phone
- routing algorithm
- simulated annealing
- cost function
- search algorithm