Bio-inspired metaheuristics for the generalised discrete cost multicommodity network design problem.
Sonia KhatrouchSafa Bhar LayebJouhaina Chaouachi SialaPublished in: Int. J. Metaheuristics (2019)
Keyphrases
- network design problem
- bio inspired
- minimal cost
- network design
- approximation algorithms
- swarm intelligence
- network flow problem
- branch and bound
- transportation networks
- mixed integer
- artificial neural networks
- mixed integer programming
- minimum cost
- valid inequalities
- combinatorial optimization
- endpoints
- neural network
- lagrangian relaxation
- integer programming
- metaheuristic
- particle swarm optimization
- special case
- ant colony optimization
- tabu search
- simulated annealing
- np hard
- lower bound
- vehicle routing problem
- optimal solution
- exact solution
- bayesian networks
- artificial intelligence
- genetic algorithm