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Toplam kayıt 9, listelenen: 1-9
Simulation studies for credibility-based multi-objective linear programming problems with fuzzy parameters
(Işık University Press, 2020)
In this paper, hybrid credibility-based multi-objective linear programming models are provided to optimize expected values of objective functions subject to fuzzy chance-constraints. Triangular or non-linear fuzzy numbers ...
Effectiveness of standalone simulation-based optimization software in optimizing the life cycle cost of residential buildings
(Dynamic Academy Yazılım İnşaat San. Tic. Ltd. Şti., 2021-12)
Designers aim to build nearly zero energy buildings and positive energy buildings to comply with regulations. However, due to many variables affecting the energy performance of buildings, energy-efficient building design ...
Investigation of residual stresses induced by milling of compacted graphite iron by x-ray diffraction technique
(Springer, 2023-11-06)
This study investigates the relationship between residual stresses, cutting parameters, and machining performance in the milling process of compacted graphite iron (CGI). X-ray diffraction (XRD) analysis is employed to ...
Optimizing indoor localization accuracy with neural network performance metrics and software-defined IEEE 802.11az Wi-Fi set-up
(IEEE, 2023-10-28)
Accurately classifying regions based on Wi-Fi signals can be a difficult task, especially when considering different frequency values. In this study, we aimed to improve the accuracy of indoor localization by developing a ...
A stochastic risk-averse framework for blood donation appointment scheduling under uncertain donor arrivals
(Springer, 2020-12)
Blood is a key resource in all health care systems, usually drawn from voluntary donors. We focus on the operations management in blood collection centers, which is a key step to guarantee an adequate blood supply and a ...
BinBRO: Binary Battle Royale Optimizer algorithm
(Elsevier Ltd, 2022-02-04)
Stochastic methods attempt to solve problems that cannot be solved by deterministic methods with reasonable time complexity. Optimization algorithms benefit from stochastic methods; however, they do not guarantee to obtain ...
Evaluation of proactive maintenance policies on a stochastically dependent hidden multi-component system using DBNs
(Elsevier Ltd, 2021-07)
In complex systems with stochastically dependent components which are not observed directly, determining an effective maintenance policy is a difficult task. In this paper, a dynamic Bayesian network based maintenance ...
Saliency detection based on hybrid artificial bee colony and firefly optimization
(Springer Science and Business Media Deutschland GmbH, 2022-11)
Saliency detection is one of the challenging problems still tackled by image processing and computer vision research communities. Although not very numerous, recent studies reveal that optimization-based methods provide ...
Battle Royale Optimizer for solving binary optimization problems
(Elsevier B.V., 2022-05)
Battle Royale Optimizer (BRO) is a recently proposed metaheuristic optimization algorithm used only in continuous problem spaces. The BinBRO is a binary version of BRO. The BinBRO algorithm employs a differential expression, ...