Displaying similar documents to “Orders with ten elements are circle order.”

A new practical linear space algorithm for the longest common subsequence problem

Heiko Goeman, Michael Clausen (2002)

Kybernetika

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This paper deals with a new practical method for solving the longest common subsequence (LCS) problem. Given two strings of lengths m and n , n ≥ m , on an alphabet of size s , we first present an algorithm which determines the length p of an LCS in O ( n s + min { m p , p ( n - p ) } ) time and O ( n s ) space. This result has been achieved before [ric94,ric95], but our algorithm is significantly faster than previous methods. We also provide a second algorithm which generates an LCS in O ( n s + min { m p , m log m + p ( n - p ) } ) time while preserving the linear space bound,...

Experiments with variants of ant algorithms.

Thomas Stützle, Sebastian Linke (2002)

Mathware and Soft Computing

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A number of extensions of Ant System, the first ant colony optimization (ACO) algorithm, were proposed in the literature. These extensions typically achieve much improved computational results when compared to the original Ant System. However, many design choices of Ant System are left untouched including the fact that solutions are constructed, that real-numbers are used to simulate pheromone trails, and that explicit pheromone evaporation is used. In this article we experimentally...

Metaheuristics based on Bin Packing for the line balancing problem

Michel Gourgand, Nathalie Grangeon, Sylvie Norre (2007)

RAIRO - Operations Research

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The line balancing problem consits in assigning tasks to stations in order to respect precedence constraints and cycle time constraints. In this paper, the cycle time is fixed and the objective is to minimize the number of stations. We propose to use metaheuristics based on simulated annealing by exploiting the link between the line balancing problem and the bin packing problem. The principle of the method lies in the combination between a metaheuristic and a bin packing heuristic....

MEMOTS: a memetic algorithm integrating tabu search for combinatorial multiobjective optimization

Thibaut Lust, Jacques Teghem (2008)

RAIRO - Operations Research

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We present in this paper a new multiobjective memetic algorithm scheme called MEMOX. In current multiobjective memetic algorithms, the parents used for recombination are randomly selected. We improve this approach by using a dynamic hypergrid which allows to select a parent located in a region of minimal density. The second parent selected is a solution close, in the objective space, to the first parent. A local search is then applied to the offspring. We experiment this scheme with...