This study considers an energy-efficient multi-objective integrated process planning and
scheduling (IPPS) problem for the remanufacturing system (RMS) integrating parallel …

In recent times, researchers have increasingly turned their attention to nature-inspired
algorithms that draw insights from the cognitive behaviors of animals, insects, and birds …

In this article, a multiuser (MU) multiinput multioutput (MIMO) system is considered, which is
essential to support a huge number of subscribers without consuming extra bandwidth or …

In this paper, authors propose novel limited feedback scheduling algorithms for multiple-
input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) broadcast …

Due to the inconsistent nature of the system, the power system uncertainties put forward
numerous operational challenges that lead to enhanced risk. Also, minimizing the …

In this paper, we present the MU (multi-user) MIMO (multiple-input & multiple-output) system
which is capable to serve the maximum number of users without additional bandwidth or …

The whale optimization algorithm (WOA) is a metaheuristic algorithm inspired by the hunting
behavior of humpback whales. This paper presents a comprehensive analysis and survey of …

In a highly dense multiple‐input multiple‐output (MIMO) communication system, proper
resource allocation is exceedingly challenging. The simultaneous selection of antennas at …

Optimization algorithms are applied to find efficient solutions in different problems in several
fields such as the routing in wireless networks, cloud computing, big data, image processing …

Pilot contamination has now been noted as a significant barrier to the accurate calculation of
channel state information (CSI). A heterogeneous massive multiple-input-multiple-output …