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Toplam kayıt 10, listelenen: 1-10
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 ...
Solving inverse partial differential equations problems by using teaching learning based optimization algorithm
(Işık University Press, 2024-04)
In this paper, a numerical approach is combined with teaching learning based optimization algorithm (TLBO) to solve problems of inverse partial differential equations. The most important point in the way we have presented ...
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, ...