A multi-population, multi-objective memetic algorithm for energy-efficient job-shop scheduling with deteriorating machines.
Mehdi AbediRaymond ChiongNasimul NomanRui ZhangPublished in: Expert Syst. Appl. (2020)
Keyphrases
- memetic algorithm
- energy efficient
- job shop scheduling
- multi population
- job shop scheduling problem
- multi objective
- genetic algorithm
- tabu search
- wireless sensor networks
- multi objective optimization
- evolutionary algorithm
- energy consumption
- crossover operator
- sensor networks
- evolutionary computation
- optimization algorithm
- simulated annealing
- fitness function
- timetabling problem
- particle swarm optimization
- energy efficiency
- neural network
- metaheuristic
- base station
- genetic algorithm ga
- differential evolution
- routing protocol
- data transmission
- fuzzy logic
- artificial neural networks
- feasible solution
- combinatorial optimization
- wireless networks
- optimization problems
- vehicle routing problem
- test problems
- scheduling problem
- artificial intelligence
- data sets