An improved fusion crossover genetic algorithm for a time-weighted maximal covering location problem for sensor siting under satellite-borne monitoring.
Ke WangYue GongYuling PengChuli HuNengcheng ChenPublished in: Comput. Geosci. (2020)
Keyphrases
- genetic algorithm
- multi sensor
- sensor fusion
- real time
- sensor data
- evolutionary algorithm
- genetic algorithm ga
- monitoring system
- earth observation
- fitness function
- crossover and mutation
- optimization model
- mutation operator
- sensor networks
- data fusion
- genetic programming
- multi objective
- differential evolution
- real coded
- crossover operator
- remote sensing
- data acquisition
- optimization method
- simulated annealing
- fuzzy logic
- neural network
- image fusion
- location information
- wireless sensor
- sensing devices
- fusion method
- sensor data streams
- multi objective optimization
- tabu search
- metaheuristic
- artificial neural networks
- location based services
- fusion methods
- initial population
- information fusion
- job shop scheduling problem
- genetic operators
- population size
- hybrid algorithm
- sensor readings
- acoustic emission
- data streams