We consider the problem of finding a safe path for a robot/manipulator in a dynamic environment and propose a novel neural network model for solving this task. The network has discrete time-dynamics, is locallyconnected, and is, hence, computationally efficient. No preliminary information about the current world status is required for the planning process. Path generation is performed via the n...

This paper investigates how enterprise resource planning (ERP) systems can influence enterprise management strategy and structure and vice versa. The research provides an up-to-date literature review, empirical case studies and proposes a new conceptual model – the Dynamic Enterprise Reference Grid for ERP (DERG-ERP) – as a management contingency framework.

This paper presents a dynamic multi-objective model for distribution network expansion, considering the distributed generations as non-wire solutions. The proposed model simultaneously optimizes two objectives namely, total costs and technical constraint satisfaction by finding the optimal schemes of sizing, placement and specially the dynamics (i.e., timing) of investments on DG units and/or n...

The resource-based view (RBV) has historically privileged the firm's internal resources and capabilities, often at the exclusion of its institutional context. In this paper, we introduce a culturally informed RBV that explains how cultural elements in the firm's institutional context shape the economic value associated with a firm's strategy. We posit that a firm's institutional context may cre...

In this study, We applied the true orthophoto obtained by combining the aerial photograph having high overlap ratio taken by area sensor type digital aerial camera “DMC” with the generation method effectively using the vector data to the fundamental data used by the administration to get rid of the narrow road of the width of 4 m or less at the urban area. We are planning to utilize this method...

We propose a TransCo model for coordinating transmission expansion planning with competitive generation capacity planning in electricity markets. Our purpose is to provide a tool to simulate the equilibrium interplay regarding strategic decisions of a set of power producers and a single transmission operator. The solution represents an iterative process for defining the optimal transmission exp...

Transmission network expansion planning (TNEP) is a basic part of power system planning that determines where, when and how many new transmission lines should be added to the network. Up till now, various methods have been presented to solve the static transmission network expansion planning (STNEP) problem. But in all of these methods, lines adequacy rate has not been considered at the end of ...

In order to make the network model was more fitting the actual condition of city traffic, this paper presents a dynamic transportation network model based on the traffic time division, and designs improved Dijkstra algorithm to solve the city traffic paths planning problem. Dijkstra algorithm is a typical singlesource shortest path algorithm is used to calculate a node to all other nodes in the...

This paper describes the application of an evolutionary algorithm, Restart Covariance Matrix Adaptation Evolution Strategy (RCMAES) to the Generation Expansion Planning (GEP) problem. RCMAES is a class of continuous Evolutionary Algorithm (EA) derived from the concept of self-adaptation in evolution strategies, which adapts the covariance matrix of a multivariate normal search distribution. The...

In this paper, optimal generation expansion planning (GEP) is investigated considering purchase prices, profits of independent power producers (IPPs) and reliability criteria using a new method based on hybrid coded Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). In this approach, optimal purchase price of each IPP is obtained by HCGA and reliability criteria are calculated by PSO...