Investigating the Properties of Indicators and an Evolutionary Many-Objective…
This article investigates the properties of ratio and difference-based indicators under the Minkovsky distance and demonstrates that a ratio-based indicator with infinite norm is the best for solut…
Investigating the Properties of Indicators and an Evolutionary Many-Objective…
This article investigates the properties of ratio and difference-based indicators under the Minkovsky distance and demonstrates that a ratio-based indicator with infinite norm is the best for solut…
Achieving High Individual Service Levels Without Safety Stock? Optimal Ration…
Resource pooling is a fundamental concept that has many applications in operations management for reducing and hedging uncertainty. An important problem in resource pooling is to decide (1) the cap…
Deblurring Dynamic Scenes via Spatially Varying Recurrent Neural Networks
Deblurring images captured in dynamic scenes is challenging as the motion blurs are spatially varying caused by camera shakes and object movements. In this paper, we propose a spatially varying neu…
A Global Dual Error Bound and Its Application to the Analysis of Linearly Con…
Error bound analysis, which estimates the distance of a point to the solution set of an optimization problem4 using the optimality residual, is a powerful tool for the analysis of first-order optim…
Locality-Aware Crowd Counting
Imbalanced data distribution in crowd counting datasets leads to severe under-estimation and over-estimation problems, which has been less investigated in existing works. In this paper, we tackle t…
Technical Note—Capacitated Assortment Optimization : Hardness and Approxima…
Assortment optimization is an important problem that arises in many practical applications such as retailing and online advertising. In this problem, the goal is to select a subset of items that ma…
Deep Reinforcement Learning-Based Policy for Baseband Function Placement and …
In this paper, we propose a deep reinforcement learning (DRL)-based algorithm to generate policies of Baseband Function (BBF) placement and routing. In order to explore the performance of the propo…
Robust Optimization Approach to Process Flexibility Designs with Contribution…
Problem definition: The theoretical investigation of the effectiveness of limited flexibility has mainly focused on a performance metric that is based on the maximum sales in units. However, this c…
Low Latency DWBA Scheme for Mini-Slot Based 5G new Radio in a Fixed and Mobil…
Cooperative dynamic bandwidth allocation (CO-DBA) enables time division multiplexed passive optical network (TDM-PON) to become a possible solution for mobile fronthaul. Meanwhile, status-report DB…
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