The solutions used to solve bi-level congestion pricing problems are usually based on heuristic network optimization methods which may not be able to find the best solution for these type of problems. The application of meta-heuristic methods can be seen as viable alternative solutions but so far, it has not received enough attention by researchers in this field. Therefore, the objective of thi...

this paper proposes a bi-objective model for the facility location problem under a congestion system. the idea of the model is motivated by applications of locating servers in bank automated teller machines (atms), communication networks, and so on. this model can be specifically considered for situations in which fixed service facilities are congested by stochastic demand within queueing frame...

In Pareto bi-objective integer optimization the optimal result corresponds to a set of nondominated solutions. We propose a generic bi-objective branch-and-bound algorithm that uses a problem-independent branching rule exploiting available integer solutions, and cutting plane generation taking advantage of integer objective values. The developed algorithm is applied to the bi-objective team ori...

abstractaccidents and natural disasters and crises coming out of them indicate the importance of an integrated planning to reduce their effected. therefore, disaster relief logistics is one of the main activities in disaster management. in this paper, we study the response phase of the disaster management cycle and a bi-objective model has been developed for relief chain logistic in uncertainty...

One of the most vital issues in electrical systems involves optimally operating microgrids (MGs) using demand-side management (DSM). A DSM program lowers utility operational costs one sense but also needs policies that encourage financial incentives other. The present study formulates optimum functioning MGs form a problem optimization. considers load shifting to be viable option. There are lim...

Sustainable development of the transport system has been consensus around world for past decades. Encouraged by urgent need cleaner alternatives to fossil fuels, vehicle electrification advancing at an unprecedented pace. As a major component multimodal transportation system, public transit is forefront adopting battery technology into its operation. Battery Electric Bus (BEB), with superior fe...

Abstract Electric vehicle charging increases the grid-side load, and safety economy of grid operation are affected. First, we consider influence climatic factors on EV simulate daily load profile under disorderly using Monte Carlo method. Then, elite selection is proposed in context traditional algorithms to establish a dual-objective optimization model with minimum peak-to-valley difference si...