An Integrated Grey Wolf Optimizer with Nelder-Mead Method for Workflow Scheduling Problem
(1)
Publication Date
Thu Jan 04 2018
Journal Name
Journal Of Electrical Engineering And Technology
(7)
Publication Date
Fri Apr 01 2011
Journal Name
Al-mustansiriyah Journal Of Science
Publication Date
Mon Dec 20 2021
Journal Name
Baghdad Science Journal
Effective Solution of University Course Timetabling using Particle Swarm Optimizer based Hyper Heuristic approach
Auto Timetable
Hyper Heuristic
Particle Swarm Optimizer
The university course timetable problem (UCTP) is typically a combinatorial optimization problem. Manually achieving a useful timetable requires many days of effort, and the results are still unsatisfactory. unsatisfactory. Various states of art methods (heuristic, meta-heuristic) are used to satisfactorily solve UCTP. However, these approaches typically represent the instance-specific solutions. The hyper-heuristic framework adequately addresses this complex problem. This research proposed Particle Swarm Optimizer-based Hyper Heuristic (HH PSO) to solve UCTP efficiently. PSO is used as a higher-level method that selects low-level heuristics (LLH) sequence which further generates an optimal solution. The proposed a
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(11)
(3)
Publication Date
Sun Feb 03 2019
Journal Name
Journal Of The College Of Education For Women
Publication Date
Sun Jan 01 2023
Journal Name
Computers, Materials & Continua
Publication Date
Wed Jul 01 2015
Journal Name
The Sai 2015
(9)
(4)
Publication Date
Sat Jan 01 2022
Journal Name
Computers, Materials & Continua
(3)
(2)
Publication Date
Fri Dec 24 2021
Journal Name
Journal Of Engineering Science And Technology. Journal Of Engineering Science And Technology
(5)
Publication Date
Wed Apr 01 2020
Journal Name
Journal Of Physics: Conference Series
An Integrated Model of The Relation Between E-Service Quality and User Satisfaction in IHL
Abstract<p>Quality of e-service is one of the critical factors that decide the success or failure of organizations. It may increase competitive advantages as well as enhance the relationships with the customers. Achieving high e-service quality and user satisfaction are challenging since they depend fundamentally on user perception and expectation which can be tricky at times. To date, there is no agreement as to what service quality is, and how it should be measured, whether it is a function of statistical measures of quality including physical defects or managerial judgment, or it is a function of customer perception about the services. This paper deep-dived the quality of e-services offered b</p>
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(1)
(2)
Publication Date
Thu Jun 01 2017
Journal Name
Journal Of Economics And Administrative Sciences
Comparison Semiparametric Bayesian Method with Classical Method for Estimating Systems Reliability using Simulation Procedure
التوزيع الأسي
طريقة كيرنل
طريقة كابلن
مير
الطريقة البيزية
متوسط مربعات الخطأ التكاملي.
Exponential Distribution
Kernel method
Kaplan- Meier method
Bayesian method
Integral Mean Square Error.
In this research, the semiparametric Bayesian method is compared with the classical method to estimate reliability function of three systems : k-out of-n system, series system, and parallel system. Each system consists of three components, the first one represents the composite parametric in which failure times distributed as exponential, whereas the second and the third components are nonparametric ones in which reliability estimations depend on Kernel method using two methods to estimate bandwidth parameter h method and Kaplan-Meier method. To indicate a better method for system reliability function estimation, it has be
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