Aiming to find the most suitable development schemes of conventional and unconventional
reservoirs for maximum energy supply or economic benefits, reservoir production …

In this paper, we provide a comprehensive review of mathematical programming models for
shale oil & gas development, and we offer a perspective on outstanding research …

Land cover classification is one of the most important applications of POLSAR images. In
this paper, a hybrid biogeography-based optimization support vector machine (HBBOSVM) …

Efficient energy consumption is one of the main problems in wireless sensor networks
routing protocols. Since the sensor nodes have limited battery level and memory space, it is …

Evolutionary transfer optimization (ETO) algorithms with the ability to learn from past tasks
have made breakthroughs in more and more fields. When the experience embedded in the …

Due to the widespread availability of services and smart devices, the decentralized internet
of things and wireless sensor network-based systems (DIoT and WSN) have drawn the …

Integrated optimization of well placement and hydraulic fracture parameters in naturally
fractured shale gas reservoirs is of significance to enhance unconventional hydrocarbon …

The exacerbation of high crime rate has become a critical impediment to the country's
economy, therefore necessitating the involvement of data analysts and scientists in …

The aim of this paper is twofold. First, black hole algorithm (BHA) is proposed as a new
training algorithm for feedforward neural networks (FNNs), since most traditional and …

Well placement optimization is directly related to the recovery factor of reservoir
development, and at present, the mainstream solution is an evolutionary algorithm …