the dynamic facility layout problem (dflp) is the problem of finding positions of departments onthe plant floor for multiple periods (material flows between departments change during the planning horizon)such that departments do not overlap, and the sum of the material handling and rearrangement costs isminimized. in this paper a new optimization algorithm inspired from colonizing weeds, invasi...

We consider a Two-Dimensional Cutting Stock Problem where stock of different sizes is available, and a set of rectangular items has to be obtained through two-staged guillotine cuts. We propose a heuristic algorithm, based on column generation, which requires as subproblem the solution of a Two-Dimensional Knapsack Problem with two-staged guillotines cuts. A further contribution of the paper co...

This paper proposes three algorithms for multiple-choice hardware-software partitioning with the objectives: minimizing execution time and power consumption, while meeting the area constraint. A heuristic algorithm is proposed to rapidly generate an approximate solution. A tabu search algorithm is customized to refine the heuristic solution. Also, a dynamic programming algorithm is proposed to ...

We study the single individual SNP haplotype reconstruction problem. We introduce a simple heuristic and prove experimentally that is very fast and accurate. In particular, when compared with a dynamic programming of [8] it is much faster and also more accurate. We expect Fast Hare to be very useful in practical applications. We also introduce a combinatorial problem related to the SNP haplotyp...

Classic heuristic search algorithms can find solutions that take the form of a simple path (A*), a tree, or an acyclic graph (AO*). In this paper, we describe a novel generalization of heuristic search, called LAO*, that can find solutions with loops. We show that LAO* can be used to solve Markov decision problems and that it shares the advantage heuristic search has over dynamic programming fo...

This chapter reviews multi-product dynamic pricing models for a revenue maximizing monopolist firm. The baseline model studied in this chapter is of a seller that owns a fixed capacity of a resource that is consumed in the production or delivery of some type of product. The seller selects a dynamic pricing strategy for the offered product so as to maximize its total expected revenues over a fin...