Macro actions for structures

It is not surprising that structures underly many of the problems that we find interesting in planning. However, the planners that we develop are not always capable of acting on them as they increase in size. For example, the errors caused through relaxations in a heuristic can grow quickly when acting on a structure. Macro actions can help to compensate for heuristic error; however, researchers have investigated finite length macro actions limiting the benefit when the underlying problem is an arbitrary sized structure. In this work we design a specific set of arbitrary length macros, providing a vocabulary for acting on structures

Warehouse Layout Method Based on Ant Colony and Backtracking Algorithm

Warehouse is one of the important aspects of a company. Therefore, it is necessary to improve Warehouse Management System (WMS) to have a simple function that can determine the layout of the storage goods. In this paper we propose an improved warehouse layout method based on ant colony algorithm and backtracking algorithm. The method works on two steps. First, it generates a solutions parameter tree from backtracking algorithm. Then second, it deducts the solutions parameter by using a combination of ant colony algorithm and backtracking algorithm. This method was tested by measuring the time needed to build the tree and to fill up the space using two scenarios. The method needs 0.294 to 33.15 seconds to construct the tree and 3.23 seconds (best case) to 61.41 minutes (worst case) to fill up the warehouse. This method is proved to be an attractive alternative solution for warehouse layout system.Comment: 5 pages, published in proceeding of the 14th IAPR International Conference on Quality in Research (QIR