this research uses a comprehensive method to solve a combinatorial problem of distribution network expansion planning (dnep) problem. the proposed multi-objective scheme aims to improve power system's accountability and system performance parameters, simultaneously, in the lowest possible costs. the dynamic programming approach is implemented in order to find the optimal sizing, siting and...

In this paper, we use market segmentation approach in multiproduct inventory production system with deteriorating items. The objective is to make use of optimal control theory to solve the production inventory problem and develop an optimal production policy that maximize the total profit associated with inventory and production rate in segmented market. First, we consider a single production a...

for multi-objective optimal reactive power dispatch (morpd), a new approach is proposed where simultaneous minimization of the active power transmission loss, the bus voltage deviation and the voltage stability index of a power system are achieved. optimal settings of continuous and discrete control variables (e.g. generator voltages, tap positions of tap changing transformers and the number of...

This paper presents an optimal kinematic design of a 3PRC (prismatic-revolute-cylindrical) spatial translational parallel manipulator with inclined actuator arrangement by formulating a multi-objective optimization problem. Three performance criteria’s namely Global Conditioning Index (GCI), Global stiffness Index (GSI) and Workspace volume are considered as the objective functions. A multi-obj...

Resource allocation is the optimal distribution in a limited number of resources available for certain activities. The large activities requires exponentially multiplying computation cost. Therefore, resource problem known as NP-Hard literature. In this study, multi-objective binary artificial bee colony algorithm has been proposed solving problems. benefited from robust structure and easy impl...

When trying to liquidate a large quantity of particular stock, the price that stock is likely be affected by trades, thus leading reduced expected return if we were sell entire at once. This leads problem optimal execution, where aim split order into several smaller orders over course period time, optimally balance with market risk. can defined in terms difference equations. Here, show how refo...