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Toplam kayıt 12, listelenen: 1-10
A new simulated annealing approach for travelling salesman problem
(2013)
The aim of this study is to improve searching capability of simulated annealing (SA) heuristic through integration of two new neighborhood mechanisms. Due to its ease of formulation, difficulty to solve and various real ...
MLSeq: Machine learning interface for RNA-sequencing data
(Elsevier Ireland Ltd, 2019)
Background and Objective: In the last decade, RNA-sequencing technology has become method-of-choice and prefered to microarray technology for gene expression based classification and differential expression analysis since ...
Design process model for flexible manufacturing systems and application of TAI
(2011)
In this paper, a systematic design process model is proposed to model Flexible Manufacturing Systems (FMS). Generally, FMS systems design is complicated and cost very high as installation phase. Therefore, technical analysis ...
A comprehensive mathematical model for dynamic cellular manufacturing system design and Linear Programming embedded hybrid solution techniques
(Elsevier Ltd, 2016)
Considering the ever changing market conditions, it is essential to design responsive and flexible manufacturing systems. This study addresses the multi-period Dynamic Cellular Manufacturing System (DCMS) design problem ...
Variability modelling and balancing of stochastic assembly lines
(Taylor and Francis Ltd., 2016)
In a production flow line with stochastic environment, variability affects the system performance. These stochastic nature of real-world processes have been classified in three types: arrival, service and departure process ...
Integrated definition modeling and Taguchi analysis of flexible manufacturing systems: Aircraft industry application
(2013)
In this paper, flexible manufacturing systems (FMS) are studied. Firstly, an FMS design approach is proposed using integrated definition for function methodology. A systematic layout design and performance evaluation scheme ...
Solving capacitated location routing problem by variable neighborhood descent and GA–Artificial neural network hybrid method
(Faculty of Transport and Traffic Engineering, 2018)
This paper aims to find the optimal depot locations and vehicle routings for spare parts of an automotive company considering future demands. The capacitated location-routing problem (CLRP), which has been practiced by ...
Deep Learning Approach to Technician Routing and Scheduling Problem
(EDICIONES UNIV SALAMANCA, 2022)
This paper proposes a hybrid algorithm including the Adam algorithm and body change operator (BCO). Feasible solutions to technician routing and scheduling problems (TRSP) are investigated by performing ...
Shortest Confidence Intervals of Weibull Modulus for Small Samples in Materials Reliability Analysis
(GAZI UNIV, 2023)
The Weibull distribution has been widely used to model strength properties of brittle materials. Estimation of confidence intervals for Weibull shape parameter has been an important concern, since small sample sizes in ...
A data-driven approach based on deep neural networks for lithium-ion battery prognostics
(Springer London Ltd, 2021)
Remaining useful life estimation is gaining attention in many real-world applications to alleviate maintenance expenses and increase system reliability and efficiency. Deep learning approaches have recently provided a ...