Business analytics aims to enable organizations to make quicker, better, and more
intelligent decisions with the aim to create business value. To date, the major focus in the …

Several reviews have been made regarding the methods and application of multi-objective
optimization (MOO). There are two methods of MOO that do not require complicated …

Nowadays, the design of optimization algorithms is very popular to solve problems in
various scientific fields. The optimization algorithms usually inspired by the natural …

Movable antenna (MA) is a promising technology to improve wireless communication
performance by varying the antenna position in a given finite area at the transceivers to …

Non-orthogonal multiple access (NOMA) has recently been considered as a key enabling
technique for 5G cellular systems. In NOMA, by exploiting the channel gain differences …

The exponential growth in Internet of Things (IoT) devices and the limitations of cloud
computing in terms of latency and quality of service for time-sensitive applications have led …

An introduction to decision making under uncertainty from a computational perspective,
covering both theory and applications ranging from speech recognition to airborne collision …

Uncertainty quantification serves a central role for simulation-based analysis of physical,
engineering, and biological applications using mechanistic models. From a broad …

Unlike more established renewable energy conversion technologies, such as wind turbines,
wave power systems have reached neither commercial maturity, nor technological …

In this paper, we study the problem of sampling from a given probability density function that
is known to be smooth and strongly log-concave. We analyze several methods of …