We describe and evaluate the algorithmic techniques that are used in the FF planning system. Like the HSP system, FF relies on forward state space search, using a heuristic that estimates goal distances by ignoring delete lists. Unlike HSP's heuristic, our method does not assume facts to be independent. We introduce a novel search strategy that combines hill-climbing with systematic search, and...

We propose a wide-ranging knowledge representation formalism designed expressly to support many di erent forms of reasoning about plans. We begin with an event-based language based on the interval temporal logic. The language supports reasoning about action attempts and composite actions, both of which are given axiomatic de nitions. We then de ne a representation for plans viewed as arguments ...

Human-like path planning is still a challenging task for automated vehicles. Imitation learning can teach these vehicles to learn planning from human demonstration. In this work, we propose to formulate the planning stage as a convolutional neural network (CNN). Thus, we can employ well established CNN techniques to learn planning from imitation. With the proposed method, we train a network for...

Optimal planning of cellular networks is one of the most fundamental problems in network design. This paper discusses cell planning problems for the fourth generation (4G) cellular networks. We describe important planning aspects derived by the anticipated 4G technologies and model several relevant cell planning problems. We then review several algorithmic techniques for solving these problems.

ÐThe widespread use of GUIs for interacting with software is leading to the construction of more and more complex GUIs. With the growing complexity come challenges in testing the correctness of a GUI and its underlying software. We present a new technique to automatically generate test cases for GUIs that exploits planning, a well-developed and used technique in artificial intelligence. Given a...

This paper presents an application of Benders decomposition to deal with the complexities in the simultaneous Generation Expansion Planning (GEP) and Transmission Expansion Planning (TEP). Unlike the power system operation fields of study, the power system planning methods are not expected to be fast. However, it is always preferable to speed up computations to provide more analysis options for...

Distributed generation (DG) has been widely used in distribution network to reduce the energy losses, improve voltage profile and system reliability, etc.  The location and capacity of DG units can influence on probability of protection mal-operation in distribution networks. In this paper, a novel model for DG planning is proposed to find the optimum DG location and sizing in radial distr...

In recent years, in Iran and other countries the power systems are going to move toward creating a competition structure for selling and buying electrical energy. These changes and the numerous advantages of DGs have made more incentives to use these kinds of generators than before. Therefore, it is necessary to study all aspects of DGs, such as size selection and optimal placement and impact o...