During the last few years, multi-objective optimization processes have become one of main challenges for energy efficiency in buildings. In this work, a new efficient method, based on Building Performance Optimization (BPO) technique, has been developed to improve indoor thermal comfort and performance residential buildings, i.e. Moroccan ground floor + first (GFFF) house located Marrakech regi...

As renewable energy penetration increases, the lack of flexibility in a multi-renewable power system can seriously affect its own economics and reliability. To address this issue, three objectives are considered study: fluctuations on tie-line, operating cost, curtailment rate energy. Presented also is an optimal day-ahead scheduling model based MREPS for distributed generations with constraint...

This article addresses a general tri-objective two-echelon capacitated vehicle routing problem (2E-CVRP) to minimize the total travel cost, customers waiting times and carbon dioxide emissions simultaneously in distributing perishable products. In distributing perishable products, customers’ satisfaction is very important and is inversely proportional to the customers waiting times. The propose...

Experimental research on laser additive remanufacturing technology of heavy-duty sprocket was carried out. The influences power, scanning speed, and powder feeding rate cladding height, area, melting dilution were compared analyzed. prediction models the combination process parameters with geometric characteristics layer established. A multi-objective parameter optimization model maximum height...

In this paper, a multi-objective enhanced imperialist competitive algorithm (MOEICA) is presented. The main structures of the original ICA are employed while some novel approaches are also developed. Other than the non-dominated sorting and crowding distance methods which are used as the main tools for comparing and ranking solutions, an auxiliary comparison approach called fuzzy possession is ...

With the popularity of electric vehicles (EV), charging technology has become one bottleneck problems that limit large-scale deployment EVs. In this paper, a method using multi-stage constant current based on SOC (MCCS) is proposed, and then time, capacity temperature increase battery are optimized by multi-objective particle swarm optimization (MOPSO) algorithm. The influence number stages, cu...

Distributed energy resources (DERs) including distributed generators (DGs) and controllable loads (CLs) are managed in the form of several microgrids (MGs) in active distributions networks (ADNs) to meet the demand locally. On the other hand, some loads of distribution networks (DNs) can be supplied by retailers which participate in wholesale energy markets. Therefore, there are several decisio...

The primary challenge in organizing sensor networks is energy efficacy. This requisite for energy efficacy is because sensor nodes capacities are limited and replacing them is not viable. This restriction further decreases network lifetime. Node lifetime varies depending on the requisites expected of its battery. Hence, primary element in constructing sensor networks is resilience to deal with ...