UAV trajectory planning is one of the research focuses in artificial intelligence and technology. The asymmetric information, however, will lead to uncertainty planning; probability theory as most commonly used method solve problem uncertain environment unrealistic conclusions under condition lacking samples, while based on measures an efficient such problems. Firstly, uncertainties are suffici...

This paper presents a multi-objective formulation for optimal siting and sizing of distributed generation (DG) resources in distribution systems in order to minimize the cost of power losses and energy not supplied. The implemented technique is based on a genetic algorithm (GA) and weight method that employed to obtain the best compromise between these costs. Simulation results on 33-bus distri...

In this paper, power distribution planning (PDP) considering distributed generators (DGs) is investigated as a dynamic multi-objective optimization problem. Moreover, Monte Carlo simulation (MCS) is applied to handle the uncertainty in electricity price and load demand. In the proposed model, investment and operation costs, losses and purchased power from the main grid are incorporated in the f...

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...