Many-Objective Evolutionary Algorithm With Reference Point-Based Fuzzy Correlation Entropy for Energy-Efficient Job Shop Scheduling With Limited Workers.
Wenfeng LiLijun HeYulian CaoPublished in: IEEE Trans. Cybern. (2022)
Keyphrases
- energy efficient
- job shop scheduling
- evolutionary algorithm
- job shop scheduling problem
- wireless sensor networks
- energy consumption
- multi objective
- scheduling problem
- simulated annealing
- sensor networks
- evolutionary computation
- optimization problems
- multi objective optimization
- fuzzy logic
- base station
- multi core architecture
- energy efficiency
- combinatorial optimization problems
- fitness function
- genetic algorithm
- differential evolution
- genetic programming
- data transmission
- neural network
- mobile agents
- particle swarm optimization
- resource constraints
- objective function
- artificial intelligence
- data sets