A Multi-objective Iterated Local Search Heuristic for Energy-Efficient No-Wait Permutation Flowshop Scheduling Problem.
Gabriel de Paula FélixJosé Elias C. ArroyoMatheus de Freitas AraujoPublished in: ISDA (4) (2022)
Keyphrases
- energy efficient
- iterated local search
- multi objective
- tabu search
- metaheuristic
- multi start
- wireless sensor networks
- genetic algorithm
- particle swarm optimization
- evolutionary algorithm
- energy consumption
- vehicle routing problem
- simulated annealing
- vehicle routing problem with time windows
- multi objective optimization
- sensor networks
- optimization problems
- variable neighborhood descent
- energy efficiency
- global optimization
- feasible solution
- path relinking
- search algorithm
- ant colony optimization
- heuristic methods
- objective function
- base station
- combinatorial optimization
- scheduling problem
- stochastic approximation
- search procedure
- optimal solution
- nsga ii
- flowshop
- routing protocol
- neural network
- search space
- np hard
- routing algorithm
- sensor nodes
- hyper heuristics
- scatter search
- data transmission
- test problems
- solution quality