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4OR (Record no. 4357)

MARC details
000 -LEADER
fixed length control field 05732nas a22003855i 4500
001 - CONTROL NUMBER
control field 1614-2411
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260610082532.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1614-2411
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/10288.1614-2411
Source of number or code doi
210 10 - ABBREVIATED TITLE
Abbreviated title 4OR-Q J Oper Res
245 10 - TITLE STATEMENT
Title 4OR
Medium [electronic resource] :
Remainder of title A Quarterly Journal of Operations Research /
Statement of responsibility, etc. edited by Yves Crama, Silvano Martello, Vincent T'kindt, Michel Grabisch.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Berlin/Heidelberg :
Name of producer, publisher, distributor, manufacturer Springer Berlin Heidelberg :
-- Imprint: Springer.
300 ## - online resource
Other physical details online resource.
520 ## - SUMMARY, ETC.
Summary, etc. 4OR - A Quarterly Journal of Operations Research is jointly published by the Belgian, French and Italian Operations Research Societies. It publishes high quality scientific papers on the theory and applications of Operations Research. It is distributed to all individual members of the participating societies. The journal consists of several sections: · Invited Survey. This section is limited to one paper per issue, and consists of "state-of-the-art surveys" written by prominent researchers on invitation from the Editors-in-Chief. · Research Papers. This section is the core of the journal. Its aim is to publish high quality scientific papers within a short period of time, allowing OR researchers to communicate innovative results in a fast and efficient way. The emphasis on scientific rigor and on innovation implies, in particular, that the journal does not publish articles that: o present applications of methods based on machine learning, neural networks, and blockchain technology, unless they have an explicit link with Operations Research; o present complex variants of classical models (e.g., inventory, production planning or supply chain models) obtained by adding artificial features (multiple objectives, fuzzy parameters,…), typically formulated as long and unsolvable MIPs, and finally solved through arbitrarily chosen metaheuristics. Such articles do not pass the “innovativeness” criterion, since the same incremental process can be indefinitely applied without bringing any new knowledge about the problem under consideration; o simply propose disguised variants of known methods or theoretical results like, e.g., 1. "new" metaheuristics that are claimed to be “effective” on the sole basis of metaphorical comparisons with natural or artificial systems and processes, or 2. "new" optimization algorithms derived from existing ones by exploiting some of their "degrees of freedom" to produce formally different but largely equivalent methods, or 3. "new" classes of optimization problems that slightly generalize existing ones, not justified by compelling applications and for which theoretical results barely extend the already available ones. New methods must be presented in metaphor-free language and in a way which clarifies their relationship with classical paradigms. Their properties must be established on the basis of scientifically compelling arguments: mathematical proofs, controlled experiments, objective comparisons, etc. Except possibly for the proposal of entirely novel approaches or classes of problems, any theoretical analysis is expected to be complemented with a thorough experimental investigation that clearly proves significant improvements in the computational behavior of the newly proposed approach wrt all the relevant competitors from the literature or available software packages. The emphasis on short turnaround implies that “minor revisions” must be resubmitted within a short period of time and that "major revisions" are treated as rejections. · Industry. This section offers a means of communication between OR practitioners and academics. Papers published in this section can consist of case studies, state-of-art papers on the use of OR techniques in industry, or open industrial problems. · Education papers. Papers in this section give a new look and/or comments on existing knowledge, aimed at improving the quality of OR teaching, while also being accessible and interesting to a wider audience. Potential contributors should contact one of the Editors-in-chief before preparing a paper. · A PhD section publishes selected 2-page abstracts of recent PhD theses in operations research defended either in Belgian, French or Italian institutions, or by Belgian, French or Italian citizens. Abstracts must follow strict style guidelines, see http://4or.be/PhD.pdf. All papers are handled by the Editors-in-Chief and other members of the Editorial Board. Appointments to the editorial board are by invitation only. The journal does not publish special, guest-edited issues. Unsolicited requests for appointment to the board or as guest editor will not be answered. Officially cited as: 4OR-Q J Oper Res .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Operations research.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematical optimization.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Production management.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Operations research.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Management science.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Operations Research and Decision Theory.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Optimization.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Operations Management.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Operations Research, Management Science.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Crama, Yves.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Martello, Silvano.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name T'kindt, Vincent.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Grabisch, Michel.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed version:
International Standard Serial Number 1619-4500
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/10288.1614-2411">https://doi.org/10.1007/10288.1614-2411</a>
Public note Hybrid

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