A hybrid algorithm based on tabu search and generalized network algorithm for designing multi-objective supply chain networks.
Awsan MohammedSalih O. DuffuaaPublished in: Neural Comput. Appl. (2022)
Keyphrases
- hybrid algorithm
- tabu search
- simulated annealing
- supply chain
- particle swarm optimization
- multi objective
- initial solution
- optimization algorithm
- search procedure
- particle swarm optimization pso
- memetic algorithm
- genetic algorithm
- scheduling problem
- optimal solution
- metaheuristic
- test problems
- heuristic methods
- evolutionary algorithm
- job shop scheduling problem
- particle swarm
- tabu list
- path relinking
- tabu search algorithm
- vehicle routing problem
- objective function
- optimization method
- search algorithm
- dynamic programming
- benchmark problems
- computational complexity
- cost function
- ant colony optimization
- genetic programming
- simulated annealing and tabu search
- np hard
- convex hull
- genetic algorithm ga
- differential evolution
- combinatorial optimization
- worst case
- hill climbing
- supply chain management
- benchmark instances
- search space
- approximation algorithms
- candidate list