A correction to this paper has been published: https://doi.org/10.1007/s11227-021-03837-x

This paper examines optimal path finding problems where cost function and constraints are direction, location and time dependent. Recent advancements in sensor and data-processing technology facilitate the collection of detailed real-time information about the environment surrounding a ground vehicle, an airplane or a naval vessel. We present a navigation model that makes use of such informatio...

the large amount of computation necessary for obtaining time optimal solution for moving a manipulator on specified path has made it impossible to introduce an on line time optimal control algorithm. most of this computational burden is due to calculation of switching points. in this paper a learning algorithm is proposed for finding the switching points. the method, which can be used for both ...

in this paper, we present a new method to determine the optimal location and parameter settings of unifiedpower flow controller (upfc) for removing voltage violations and transmission lines overloading. upfc isconsidered as the most powerful member of the facts devices, that it can control shunt and series power flow.this option gives to upfc the power to control the voltage profile and transmi...

This paper presents a novel method for optimal location of FACTS controllers in a multi machine power system using Genetic Algorithm(GA). Using the proposed method, the location of FACTS controller, their type and rated values are optimized simultaneously. Among the various FACTS controllers, Thyristor Controlled Series Compensator (TCSC) and Unified power Flow Controller (UPFC) are considered....

restructuring the recent developments in the power system and problems arising from construction as well as the maintenance of large power plants lead to increase in using the distributed generation (dg) resources. dg units due to its specifications, technology and location network connectivity can improve system and load point reliability indices. in this paper, the allocation and sizing of di...

Modern this paper proposes non dominated sorting genetic algorithm (NSGA-II) which has feature of adaptive crowding distance for finding optimal location and sizing of Static Var Compensators (SVC) in order to minimize real power losses and voltage deviation and also to improve voltage profile of a power system at the same time. While finding the optimal location and size of SVC, single line ou...