Energy Saving in Single-Machine Scheduling Management: An Improved Multi-Objective Model Based on Discrete Artificial Bee Colony Algorithm.
Jing JiaChao LuLvjiang YinPublished in: Symmetry (2022)
Keyphrases
- artificial bee colony algorithm
- multi objective
- energy saving
- single machine scheduling
- artificial bee colony
- energy consumption
- optimization algorithm
- single machine scheduling problem
- particle swarm optimization
- evolutionary algorithm
- wireless sensor networks
- hybrid algorithm
- multi objective optimization
- power consumption
- multiobjective optimization
- particle swarm optimization algorithm
- energy efficient
- energy efficiency
- objective function
- sensor networks
- multiple objectives
- data mining
- nsga ii
- artificial neural networks
- neural network
- metaheuristic
- optimization problems
- genetic algorithm
- cost function