More specifically, our new exact algorithm formulates the WTA problem as an integer linear programming model which has binary columns, and solves the model using column enumeration as well as branch and bound t
A new efficient evolutionary algorithm for the quadratic assignment problem - Nissen - 1992NISS93a] Nissen, V . (1993): A New Efficient Evolutionary Algorithm for the Quadratic Assignment Problem. In: Operations Research Proceedings. Papers of the 21st Annual Meeting of DGOR in Cooperation with ...
R. Silver,An algorithm for the assignment problem, Comm. ACM 3:11, (Nov. 1960), 605–606. CrossRef About this Article Title A new implementation of an algorithm for the optimal assignment problem: An improved version of Munkres' algorithm Journal BIT Numerical Mathematics Volume 19, Issu...
This algorithm is based on the extension principle by Schoch and uses the assignment problem relaxation of the traveling salesman problem for computing lower bounds. Computational experience with randomly generated test problems indicate that the present algorithm yields good results in runtime which are...
All the tests are running on a PC of Pentium(R) IV (2.80GHz) in Conclusions In this paper we proposed a new ACO-based algorithm, BAS, for solving the multidimensional Knapsack problem. BAS differs from previously proposed ACO-based algorithms in several ways. First, the pheromone laying ...
This extends the well-known LP rounding procedure of Raghavan and Thompson, which is usually used to round fractional solutions of linear programs.¶We use our rounding procedure to design an additive approximation algorithm to the Quadratic Assignment Problem. The approximation error of the ...
A fast and new heuristic recursive algorithm to find a minimum height for two-dimensional strip rectangular packing problem is presented. This algorithm is mainly based on heuristic strategies and a recursive structure, and its average running time is T ( n ) = θ ( n 3 ). The computational...
The traditional A* algorithm suffers from issues such as sharp turning points in the path, weak directional guidance during the search, and a large number of computed nodes. To address these problems, a modified approach called the Directional Search A*
Routing: for each path, we must find the shortest path. Instead of using Dijkstra algorithm, Swap uses theinteger linear programming formulation of the shortest pathproblem for the routing process. The metric used to find the shortest path is thegeographic distance, calculated with theHaversine for...
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