Taylor & Francis

Journal of Information and Optimization Sciences Template

Write in a clean editor, then format for Journal of Information and Optimization Sciences in one click — DocuGuru applies the official Taylor & Francis template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

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.

PublisherTaylor & Francis
Reference styleAuthor–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 inSupply Chain and Inventory Management Scheduling and Optimization Algorithms Optimization and Mathematical Programming Advanced Optimization Algorithms Research Optimization and Variational Analysis
ISSN0252-2667
Citation impact (2-yr)0.25
h-index34
i10-index290
Total citations11,136
Top institutions publishing hereBharati Vidyapeeth Deemed University
Journal websitewww.tandfonline.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Journal of Information and Optimization Sciences per year

31
2014
30
2015
51
2016
119
2017
108
2018
127
2019
170
2020
73
2021
191
2022
112
2023
202
2024
227
2025

Citation impact of Journal of Information and Optimization Sciences by publication year

123
2014
219
2015
346
2016
982
2017
603
2018
1K
2019
1.3K
2020
177
2021
542
2022
196
2023
109
2024
29
2025

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

Ratio and Product Type Exponential Estimators

Shashi Bahl, R.K. Tuteja · 1 Jan 1991

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…

Further Generalizations of Convexity in Mathematical Programming

Morgan A Hanson, B. Mond · 1 Jan 1982

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 relationship between service quality and customer satisfaction: the example of CJCU library

I‐Ming Wang, Chich-Jen Shieh · 1 Jan 2006

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…

Existence theorems of set optimization with set-valued maps

Daishi Kuroiwa · 1 Jan 2003

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…

Heuristic algorithms for the maximum diversity problem

Fred Glover, Ching‐Chung Kuo, Krishna S. Dhir · 1 Jan 1998

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…

Journal of Information and Optimization Sciences template — frequently asked questions

How do I write a paper in the Journal of Information and Optimization Sciences format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Journal of Information and Optimization Sciences template. When you export, DocuGuru compiles the paper into the official Taylor & Francis format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Journal of Information and Optimization Sciences use?
Journal of Information and Optimization Sciences uses Author–year (Chicago, T&F) references, shown as author–year markers such as (Smith, 2023) in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Journal of Information and Optimization Sciences 12 (3): 45–58.
Do I need to know LaTeX to submit to Journal of Information and Optimization Sciences?
No. DocuGuru generates the interact LaTeX class and compiles the PDF for you in the background, so you get a Taylor & Francis-ready Journal of Information and Optimization Sciences document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Journal of Information and Optimization Sciences template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Journal of Information and Optimization Sciences format with correct headings, figures, tables, and author–year citations.
Who publishes Journal of Information and Optimization Sciences?
Journal of Information and Optimization Sciences is a multidisciplinary journal published by Taylor & Francis. DocuGuru's Journal of Information and Optimization Sciences template matches Taylor & Francis's official submission format.
Can I export a submission-ready Journal of Information and Optimization Sciences PDF?
Yes — DocuGuru produces a PDF built with the official Journal of Information and Optimization Sciences template (the interact class) that is ready to submit to Taylor & Francis, together with the matching LaTeX source files.
How much does the Journal of Information and Optimization Sciences template cost?
You can start writing in the Journal of Information and Optimization Sciences template for free. Exporting the final submission-ready Journal of Information and Optimization Sciences PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
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