Cyclic transfer algorithms for multivehicle routing and scheduling problems
Operations Research
Formulations and Algorithms for the Capacitated Minimal Directed Tree Problem
Journal of the ACM (JACM)
Tabu Search
Grasp and Path Relinking for 2-Layer Straight Line Crossing Minimization
INFORMS Journal on Computing
A Hybrid GRASP with Perturbations for the Steiner Problem in Graphs
INFORMS Journal on Computing
Path relinking for the vehicle routing problem
Journal of Heuristics
Savings based ant colony optimization for the capacitated minimum spanning tree problem
Computers and Operations Research
Enhanced second order algorithm applied to the capacitated minimum spanning tree problem
Computers and Operations Research
Metaheuristics for optimization problems in computer communications
Computer Communications
Efficient parallel cooperative implementations of GRASP heuristics
Parallel Computing
Design of capacitated minimum spanning tree with uncertain cost and demand parameters
Information Sciences: an International Journal
Savings based ant colony optimization for the capacitated minimum spanning tree problem
Computers and Operations Research
Leveraging saving-based algorithms by master-slave genetic algorithms
Engineering Applications of Artificial Intelligence
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We describe a new neighborhood structure for the capacitated minimum spanning tree problem. This neighborhood structure is used by a local search strategy, leading to good trade-offs between solution quality and computation time. We also propose a GRASP with path-relinking heuristic. It uses a randomized version of a savings heuristic in the construction phase and an extension of the above local search strategy, incorporating some short term memory elements of tabu search. Computational results on benchmark problems illustrate the effectiveness of this approach, which is competitive with the best heuristics in the literature in terms of solution quality. The GRASP heuristic using a memory-based local search strategy improved the best known solution for some of the largest benchmark problem.