Abstract This paper proposes new ratio and product type estimators for estimating the mean of the finite population using information on single auxiliary variable. The bias and mean square error of these estimators have been obtained. These estimators are compared for their precision with usual mean per unit, ratio and product estimators and are found…
Journal of Information and Optimization Sciences Template
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About the Journal of Information and Optimization Sciences format
Journal of Information and Optimization Sciences is a peer-reviewed journal published by Taylor & Francis, covering Supply Chain and Inventory Management, Scheduling and Optimization Algorithms, Optimization and Mathematical Programming.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Journal of Information and Optimization Sciences 12 (3): 45–58.
Formats any DOI in Journal of Information and Optimization Sciences style. No sign-up. |
| Publishes research in | Supply Chain and Inventory Management Scheduling and Optimization Algorithms Optimization and Mathematical Programming Advanced Optimization Algorithms Research Optimization and Variational Analysis |
| ISSN | 0252-2667 |
| Citation impact (2-yr) | 0.25 |
| h-index | 34 |
| i10-index | 290 |
| Total citations | 11,136 |
| Top institutions publishing here | Bharati Vidyapeeth Deemed University |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Journal of Information and Optimization Sciences per year
Citation impact of Journal of Information and Optimization Sciences by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Journal of Information and Optimization Sciences
The Kuhn-Tucker conditions for the existence of solutions to inequality constrained minimization problems are sufficient conditions when all the functions involved are convex. Various concepts such as pseudo-convexity and quasi-convexity have been introduced for the purpose of weakening this limitation of convexity in mathematical programming. Still wider classes of functions are introduced in this paper…
The present paper, taking Chang Jung Christian University (CJCU) Library as an example, investigates the users' degree of importance and the performance provided by the library. This study explores overall user satisfaction as well. A questionnaire survey s conducted to reveal users' perspectives on service quality. Based on literature, servicequality has five dimensions, which are…
In optimization with set-valued maps, there are two types of criteria of solutions; one is vector optimization, which is the usual one, and the other is set optimization, which is based on a natural idea and defined by this paper. The aim of the paper is to study set optimization. We consider criteria of solutions…
Abstract Diversity maximization is concerned with selecting a subset of a predetermined number of elements that are as diverse as possible. In recent years, there has been a growing interest in the maximum diversity problem with respect to both solution method and practical application. We propose two constructive and two destructive heuristic algorithms for generating…