A note on a new greedy-solution representation and a new greedy parallelizable heuristic for the traveling salesman problem

A branch-and-cut algorithm for the generalized traveling salesman problem with time windows.. Yuan Yuan, Diego Cattaruzza, Maxime Ogier,

A branch-and-cut algorithm for the generalized traveling salesman problem with time windows.. Yuan Yuan, Diego Cattaruzza, Maxime Ogier,

MMAS has been improved with the integration of a local search. The 2-opt operator has been applied to the best ant before the pheromone update [13]. This method has also improved

In the paper we propose an algorithm for nding approximate sparse solutions of convex optimization problem with conic constraints and examine convergence properties of the

We propose new modifications of the greedy agglomerative heuristic algo- rithms with local search in SWAP neighborhood for the p-medoid problems and j-means procedure for

Consider the greedy walk algorithm from the previous section and denote again by N g the point process of all removed points.. In this more general setting, we may formulate a number

We suppose that we know that the solutions of the planar isoperimetric problem are circles. We consider a very old variant of this problem called Dido’s problem [18]. It is related

Table 1 shows that Bound (17) is tighter for small values of K (of course, for K = 1, it is 0 and indeed the greedy heuristic yields an optimal solution).. In this line, the