This paper proposed a new approach for optimum path planning in 2D environments cluttered with static obstacles. The presented model consists of four steps.In the first step, the skeleton of free obstacles space is extracted. The thin lines are converted into a graph in the second step. the determination of shortest length trajectory is done in the third step. The last step is consacred to cons...

In this paper we study the effect of dynamic behavior of the market on the optimum pricing policy for a revenue maximizing firm in a monopoly market. We show that the optimum pricing policy in the dynamic market can be very different from the static one, and the most important contributing factors for this difference are: consumer response time, planning period and the discount rate. Furt...

Decision making in supply chain context can be a difficult process due to the complexity of the models used to support this decision. We present first results of research project whom the target is to support collaboration decisions. The present study focuses on modelling the dynamics of the customer’s planning and market behaviors. We propose an aggregated model of these behaviours and associa...

The problem of path planning deals with the computation of an optimal path of the robot, from source to destination, such that it does not collide with any obstacle on its path. In this paper we solve the problem of path planning separately in two hierarchies. The coarser hierarchy finds the path in a static environment consisting of the entire robotic map. The resolution of the map is reduced ...

This paper presents an attempt to devise and develop a domain-independent reasoning system (DIRS) scheme for handling dynamic threats, and uses the scheme for automated route planning of military vehicles in an unstructured environment. Automated route planning is a very important branch in applications of artificial intelligence. In a dynamic unstructured environment, instead of simply using s...

Partial order (PO) reduction methods are widely employed to combat state explosion during model-checking. We develop a partial order reduction algorithm for rule-based languages such as Murphi [4] based on the observation that for finite-state systems, independence conditions used for PO reduction can be encoded as boolean propositions and checked using SAT methods. Comparisons against static-a...

In this research, the demand function of drinkable  water in Qazvin Province was estimated using dynamic and static methods. The required data were collected from the data of the provinces of Qazvin in the time period (1996-2016) and collected by referring to the statistical system of Statistics Center of Iran and the provincial planning and budget organization of Qazvin Province. The explanato...

REASONING AND PLANNING WITH INCOMPLETE INFORMATION IN THE PRESENCE OF STATIC CAUSAL LAWS BY TU HUY PHAN Doctor of Philosophy New Mexico State University Las Cruces, New Mexico, 2007 Dr. Son Cao Tran, Chair This dissertation extends the framework of the 0-approximation to handle domains with static causal laws. It is divided into three parts. In the first part, we present a sufficient condition ...

In this paper, the ability of Immune Algorithm (IA) is investigated for VAr planning with the Static Var Compensator (SVC) in a large-scale power system. To enhance voltage stability, the planning problem is formulated as a multi-objective optimization problem for maximizing fuzzy performance indices. The multi-objective VAr planning problem is solved by the fuzzy IA and the results are compare...