The influence of genetic operators in a Genetic Algorithm used for estimating the energy consumption in a Passive House.
Silvia Cristina StegaruEmil-Ioan SlusanschiMcolae TapusMihail-Bogdan CarutasiuConstantin IonescuAdrian BadeaPublished in: RoEduNet (2015)
Keyphrases
- genetic operators
- energy consumption
- genetic algorithm
- evolutionary algorithm
- fitness function
- wireless sensor networks
- genetic algorithm ga
- crossover and mutation
- energy efficient
- energy efficiency
- energy saving
- mutation operator
- crossover operator
- energy conservation
- genetic search
- sensor networks
- data transmission
- base station
- hybrid genetic algorithm
- evolution strategy
- multi objective
- data center
- genetic programming
- differential evolution
- sensor nodes
- evolutionary computation
- power management
- initial population
- routing protocol
- energy aware
- tabu search
- metaheuristic
- multi objective optimization
- save energy
- job shop scheduling problem
- neural network
- routing algorithm
- optimization method
- simulated annealing
- multi hop
- ant colony optimization
- greenhouse gas emissions
- optimization algorithm
- environmental impact