To reduce the fuel consumption for lunar orbit targeting, the algorithm modifies the LOI sequence and simultaneously optimizes the midcourse lunar-targeting maneuver (LTM) time.
In this article, we improve the performance of CSMA in wireless ad hoc networks by introducing joint transmitter-receiver sensing and simultaneously optimizing the sensing thresholds of both the transmitter and the receiver.
The paper presents an effective methodology for modeling and simultaneously optimizing the layer thicknesses (shape) and the ceramic volume fraction distribution (size) of functionally graded (FG) sandwich plates under free vibration in the framework of isogeometric analysis (IGA).
SW formulates the network integration problem as a linear regression problem and simultaneously optimizes the weights over a group of related functional categories.
It is worth noting that MTO manufacturers, when making decisions on the arriving orders, need to; (1) consider the effects of their offered price and delivery time on the acquired quota of the demand and (2) simultaneously optimize the pricing, delivery time setting, and order scheduling to escape from the suboptimal or even infeasible decisions.
Such a model aims at the best seizure classification accuracy, and it is able to simultaneously optimize the feature and classifier.
This means coordinating the entire supply chain effectively in order to minimize costs and simultaneously optimize facilities location, the allocation of customer demand to production/distribution centers, the inbound and outbound transportation activities, the product flows between production and/or warehousing facilities, the reverse logistics activities, etc.
Two Simplex, a regular and a modified one, were carried out to simultaneously optimize the HNO3 and HCl concentrations.
Ideally, a bilevel optimization problem can be formulated to simultaneously optimize the strain design and the feeding strategy; however, this is a difficult computational problem.
This paper proposes a novel optimization method that utilizes a multi-population parallel genetic algorithm (GA) to simultaneously optimize the structure and system latency of evolvable block-based neural networks (BbNNs).
