Improving waiting time and energy consumption performance of a bi-objective genetic algorithm embedded in an elevator group control system through passenger flow estimation.
Maite BeamurgiaRosa BasagoitiI. RodríguezV. RodriguezPublished in: Soft Comput. (2022)
Keyphrases
- energy consumption
- control system
- bi objective
- control software
- multi objective
- genetic algorithm
- flow estimation
- multi objective optimization
- wireless sensor networks
- ant colony optimization
- fuzzy logic
- energy saving
- energy efficient
- sensor networks
- efficient solutions
- energy efficiency
- energy conservation
- evolutionary algorithm
- multiple objectives
- closed loop
- routing protocol
- nsga ii
- control algorithm
- data center
- sensor nodes
- d scene
- optimization algorithm
- network design
- fitness function
- control law
- optical flow estimation
- shortest path problem
- control method
- control strategy
- optical flow
- differential evolution
- metaheuristic
- particle swarm optimization
- genetic programming
- embedded systems
- motion estimation
- total energy
- objective function
- velocity field
- neural network
- reinforcement learning
- response time
- simulated annealing
- optimization problems
- ad hoc networks
- routing algorithm