A multi-neighborhood-based multi-objective memetic algorithm for the energy-efficient distributed flexible flow shop scheduling problem.
Weishi ShaoZhongshi ShaoDechang PiPublished in: Neural Comput. Appl. (2022)
Keyphrases
- energy efficient
- memetic algorithm
- multi objective
- wireless sensor networks
- evolutionary algorithm
- genetic algorithm
- multi core architecture
- energy consumption
- sensor networks
- crossover operator
- tabu search
- evolutionary computation
- distributed systems
- optimization algorithm
- base station
- multi objective optimization
- data dissemination
- nsga ii
- combinatorial optimization
- fitness function
- energy efficiency
- objective function
- routing protocol
- distributed environment
- vehicle routing problem
- expert systems
- peer to peer
- sensor nodes
- fuzzy logic
- computer networks
- metaheuristic
- test problems
- context aware
- simulated annealing
- data sets