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...

High amounts of waste paper are disposed of every year in Iran posing the health hazard and environmental damages instead of being recovered. Collection, recovery and proper disposal of waste paper without damaging the environment need to design an efficient closed-loop supply chain network. The main objective of this paper is introducing a bi-objective, multi-echelon, multi-product and single-...

An interactive pareto optimal with advantage (IPOA) approach for bi-objective programming is proposed and applied on capacitor placement and sizing problem. Two main contradictory concerned which including cost and quality properties are considered as bi-objective programming formulation. The IPOA approach can provide a valuable trade-off pareto-optimal solution by following the intention of de...

Nowadays, working alone on a context is not sufficient and reaching good and worthy results demands cooperation of multi sciences. Healthcare supply chain is one of these sciences that bridges engineering and healthcare sciences. This paper proposes a new multi–objective model for organ transplant supply chain, which is one of consequential fields in Healthcare supply chain, by aiming at having...

Single objective evolutionary constrained optimization has been widely searched and researched by plethora of researchers in last two decades. On the other hand, multi-objective constraint handling using evolutionary algorithms has not been actively proposed. However, real-world multi-objective optimization problems consist of one or many non-linear and non-convex constraints. In the present wo...