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Computers and Operations Research

Resumen/Descripción – provisto por la editorial en inglés
Operations research and computers meet in a large number of scientific fields, many of which are of vital current concern to our troubled society. These include, among others, ecology, transportation, safety, reliability, urban planning, economics, inventory control, investment strategy and logistics (including reverse logistics). Computers & Operations Research provides an international forum for the application of computers and operations research techniques to problems in these and related fields.

The common element in all these scientific areas which this Journal addresses is the methodology for determining viable solutions to problems, using computers and the techniques of operations research. However, it is not only the mathematical methodology which is of interest: the applications are of equal importance. The two are mutually supportive, since understanding the application helps one greatly to comprehend the mathematical methods used, and vice versa.

This Journal will therefore concern itself with these scientific fields of application, and will be accordingly broad in scope of subject matter. The form, content and language of the articles will take cognizance of this breadth of applications and of the consequent fact that many readers may not be expert in the particular scientific field to which the computer and operations research techniques are applied by the author. All full-length research papers must contain original research results, and demonstrate constructive algorithmic complexity and extensive numerical experiments. Numerical illustrations (examples) are not sufficient: the numerical experiments must have a scientific value of their own, particularly with comparisons to other approaches. In addition, the research performed should represent novel and significant work relative to the relevant literature. It is the responsibility of the authors to ensure that the submitted manuscripts are written using proper English, that possible grammatical or spelling errors are eliminated and that the text conforms to correct scientific English. Submissions which do not satisfythese criteria may be rejected without being sent to reviewers.

Other paper types include:

Case Studies:
This Journal will also publish articles containing interesting real applications, even though there may be no new techniques involved. These should be labeled as case studies. It is important that they be actual cases of interest and significance which the authors were asked to analyze. In addition, the focus on algorithmic results should be emphasized.

Review Papers and Tutorials (by invitation only):
The content and presentation of this international Journal is such as to provide maximum utility to researchers, teachers and practitioners who have an interest in operations research, computers and the subject matter of the fields of application served by these. Tutorial and state-of-the-art papers will be presented from time to time, as deemed suitable. Emphasis will be given to those science areas of public importance, in which significant advances are being made by means of computers and operations research.

Focused Issue Papers:
Computers & Operations Research also publishes focused issues on topics of interest related to its editorial mission. Such issues typically contain between six and twelve articles. They are put together within an eighteen month period under the responsibility of one or several guest editors. Any contribution submitted by a guest editor is handled by the Editor of C&OR. Prospective guest editors are encouraged to contact the Editor, Professor Stefan Nickel.
Palabras clave – provistas por la editorial

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Disponibilidad
Institución detectada Período Navegá Descargá Solicitá
No detectada desde ene. 1974 / hasta dic. 2023 ScienceDirect

Información

Tipo de recurso:

revistas

ISSN impreso

0305-0548

ISSN electrónico

1873-765X

Editor responsable

Elsevier

País de edición

Reino Unido

Fecha de publicación

Tabla de contenidos

Employee turnover: a neural network solution

Randall S. Sexton; Shannon McMurtrey; Joanna O. Michalopoulos; Angela M. Smith

Pp. 2635-2651