A Multi-Population BRKGA for Energy-Efficient Job Shop Scheduling with Speed Adjustable Machines.
Seyed Mahdi HomayouniDalila B. M. M. FontesFernando A. C. C. FontesPublished in: MIC (2022)
Keyphrases
- energy efficient
- job shop scheduling
- multi population
- job shop scheduling problem
- wireless sensor networks
- genetic algorithm
- energy consumption
- sensor networks
- scheduling problem
- combinatorial optimization problems
- data transmission
- energy efficiency
- neural network
- high speed
- routing protocol
- knapsack problem
- resource constraints
- dynamic programming
- tabu search
- simulated annealing
- np hard
- multi objective
- data analysis