The northwestern highlands of Ethiopia are characterized by severe land degradation and apparently low agricultural productivity. This situation is continuously threatening the livelihoods smallholder farmers who mainly sustain their living from cultivation annual crops. In recent years, however, have started converting croplands to plantations Eucalyptus, a non-native tree species Africa, for ...

This paper presents a methodological approach for routing optimization in open pit mines which is trending topic dust emission reduction mining process. In this context, the aim of research and its contribution to knowledge firstly described based on comprehensive literature survey field. Then, as an arc problem, mathematical model process generated including objective function, minimizing tota...

It is well known that the parabolic partial differential equations in two or more space dimensions with overspecified boundary data, feature in the mathematical modeling of many phenomena. In this article, an inverse problem of determining an unknown time-dependent source term of a parabolic equation in general dimensions is considered. Employing some transformations, we change the inverse prob...

The lack of multistakeholder cooperation is one the main challenges faced by emergency medical services (EMS). Especially in ambulance routing process, inactive traffic operators fail to provide coordination prioritize ambulance, while ignoring choice hospitals will lead inevitable patient transfer between hospitals. To efficient decision support for EMS, this paper considers daily problems a n...

Abstract. This paper presents the new and now open-source version 2.1 of REgional Model INvestments Development (REMIND). REMIND, as an integrated assessment model (IAM), provides view global energy–economy–emissions system explores self-consistent transformation pathways. It describes a broad range possible futures their relation to technical socio-economic developments well policy choices. RE...

During extremely hot summer days, air conditioning systems are known as major electricity consumers in residential, commercial and industrial sectors. Moreover, high energy requirement of multiple-chiller plants may cause an interconnected power grid be faced with annual on-peak electrical demand, load-generation mismatch, voltage collapse and catastrophic wide area blackout. Therefore, this pa...

Renewable energy technologies and resources, particularly solar photovoltaic systems, provide cost-effective environmentally friendly solutions for meeting the demand electricity. The design of such systems is a critical task, as it has significant impact on overall cost system. In this paper, mixed-integer linear programming-based model proposed designing an integrated photovoltaic-hydrogen re...

The present <span lang="EN-US">study is focussed on a comparative analysis of different meta-heuristic optimization approaches for directional overcurrent relay (DOCRs) coordination which has been discussed and presented in the literature. Further, to have performance methods they tested power system network sizes. To overcome such issues, this work proposed simplex linear programming tec...

Learning and exploiting problem structure is one of the key challenges in optimization. This is especially important for black-box optimization (BBO) where prior structural knowledge of a problem is not available. Existing model-based Evolutionary Algorithms (EAs) are very efficient at learning structure in both the discrete, and in the continuous domain. In this article, discrete and continuou...

In many applications, optimization of a collection of problems is required where each problem is structurally the same, but in which some or all of the data defining the instance is updated. Such models are easily specified within modern modeling systems, but have often been slow to solve due to the time needed to regenerate the instance, and the inability to use advance solution information (s...