نتایج جستجو برای: weighted mean completion time

تعداد نتایج: 2431357  

Journal: :Journal of Mathematical Inequalities 2020

Journal: :Mathematical and Computer Modelling 1991

Journal: :Entropy 2021

In this paper, we present order invariance theoretical results for weighted quasi-arithmetic means of a monotonic series numbers. The mean, or Kolmogorov–Nagumo generalizes the classical mean and appears in many disciplines, from information theory to physics, economics traffic flow. Stochastic orders are defined on weights (or equivalently, discrete probability distributions). They were introd...

Journal: :Model Assisted Statistics and Applications 2018

2001
Leah Epstein Rob van Stee

The problem of scheduling jobs that arrive over time on a single machine is well-studied. We study the preemptive model and the model with restarts. We provide lower bounds for deterministic and randomized algorithms for several optimality criteria: weighted and unweighted total completion time, and weighted and unweighted total ow time. By using new techniques, we provide the rst lower bounds ...

2013
Muminu O. Adamu Aderemi O. Adewumi T. C. Edwin Cheng ADEREMI O. ADEWUMI

This paper presents a review of single machine scheduling to minimize the weighted number of tardy jobs. The problem involves processing n jobs on a single machine, each having processing time pj and due date dj . The aim is to schedule the jobs to meet their due date. A job is tardy if the completion time of job j is Cj > dj and on-time otherwise. This paper assesses works done to minimize the...

Journal: :The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2020

Journal: :Bulletin of the Australian Mathematical Society 2008

2001
Gang Chen Zuo-Jun Max Shen

We consider a stochastic online scheduling environment, where jobs with stochastic processing requirements arrive over time and the objective is to minimize the total weighted completion time. We show that any nondelay algorithm is asymptotically optimal for the stochastic online single machine, flow shop and uniform parallel machine problems under some mild assumptions.

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