Results 41 to 50 of about 1,020,088 (291)
Decomposition approaches for two-stage robust binary optimization
, 2019 In this talk, we study a class of two-stage robust binary optimization problems with polyhedral uncertainty set where recourse decisions are restricted to be mixed-binary and uncertainty is present only in the objective function. We present a deterministic equivalent formulation for these problems through convexification of the recourse feasible region.
Arslan, Ayşe, Detienne, Boris
openaire +2 more sources
Applied Sciences, 2023 This paper presents a novel approach to solve the multi-objective optimization problem designing a two-stage helical gearbox by applying the Taguchi method and the grey relation analysis (GRA).
Xuan-Hung Le, Ngoc-Pi Vu
doaj +1 more source
Large-Scale Convex Optimization for Dense Wireless Cooperative Networks
, 2015 Convex optimization is a powerful tool for resource allocation and signal processing in wireless networks. As the network density is expected to drastically increase in order to accommodate the exponentially growing mobile data traffic, performance ...
Letaief, Khaled B. +3 more
core +2 more sources
, 2018 We aim at segmenting small organs (e.g., the pancreas) from abdominal CT scans. As the target often occupies a relatively small region in the input image, deep neural networks can be easily confused by the complex and variable background.
Fishman, Elliot K. +5 more
core +1 more source
Two-Sided Matching with Bounded Rationality: A Stochastic Framework for Personnel Selection
MathematicsPersonnel selection represents a two-sided matching problem in which firms compete for qualified candidates by designing job-offer packages. While traditional models assume fully rational agents, real-world decision-makers often face bounded rationality ...
Saeed Najafi-Zangeneh +2 more
doaj +1 more source
A two-stage approach to the depot shunting driver assignment problem with workload balance considerations. [PDF]
PLoS ONE, 2017 Due to its environmentally sustainable and energy-saving characteristics, railway transportation nowadays plays a fundamental role in delivering passengers and goods. Emerged in the area of transportation planning, the crew (workforce) sizing problem and
Jiaxi Wang, Manfred Gronalt, Yan Sun
doaj +1 more source
Railway Rolling Stock Planning: Robustness Against Large Disruptions [PDF]
, 2011 In this paper we describe a two-stage optimization model for determining robust rolling stock circulations for passenger trains. Here robustness means that the rolling stock circulations can better deal with large disruptions of the railway system.
Alberto Caprara +8 more
core +3 more sources
Recurring Two-Stage Evolutionary Programming: A Novel Approach for Numeric Optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2011 In the application of evolutionary algorithms (EAs) to complex problem solving, it is essential to maintain proper balance between global exploration and local exploitation to achieve a good near-optimum solution to the problem. This paper presents a recurring two-stage evolutionary programming (RTEP) to balance the explorative and exploitative ...
Mohammad Shafiul, Alam +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background and Aims Wilms tumour (WT) has excellent event‐free and overall survival (OS). However, small differences exist between countries participating in the same international study. This led us to examine variation in adherence to protocol recommendations as a potential contributing factor.
Suzanne Tugnait +23 more
wiley +1 more source
The use of biologically related model (Eclipse) for the intensity-modulated radiation therapy planning of nasopharyngeal carcinomas. [PDF]
PLoS ONE, 2014 PURPOSE:Intensity-modulated radiation therapy (IMRT) is the most common treatment technique for nasopharyngeal carcinoma (NPC). Physical quantities such as dose/dose-volume parameters are used conventionally for IMRT optimization.
Monica W K Kan +2 more
doaj +1 more source