RAIRO - Operations Research

Aims & Scope

RAIRO-Operations Research is an international journal devoted to high-level pure and applied research on all aspects of operations research. All papers published in RAIRO-Operations Research are critically refereed according to international standards. Any paper will either be accepted (possibly with minor revisions) either submitted to another evaluation (after a major revision) or rejected. Every effort will be made by the Editorial Board to ensure a first answer concerning a submitted paper within three months, and a final decision in a period of time not exceeding six months. RAIRO-Operations Research contains the following types of papers: theory and methodology papers; case studies describing the solution to an actual problem arising, for example, in Transports, Telecommunications, Production Systems, Financial Planning, Computational Biology, Energy or Computer Science; state-of-the art surveys that provide a synthesis and comprehensive review of one particular area of interest. Apart from regular issues, RAIRO-Operations Research publishes special issues which focus on an Operations Research topic of current interest or which are devoted to a selection of conference papers. The papers of these special issues will be subjected to the same rigorous refereeing process as regular submissions. The scope of RAIRO-Operations Research is suggested by the following alphabetical list of keywords: Approximation and complexity Combinatorial optimization Constraint satisfaction Convex programming Game theory Global optimization Graphs and Networks Integer programming Interior points methods Large-scale system optimization Linear programming Location and routing Manufacturing systems Mathematical programming Markov processes Multiple objective programming Network flow Nonlinear programming Nonlinear 0-1 programming Nonsmooth Optimization Performance evaluation Polyhedral methods Queuing Local search Scheduling Semi-definite programming Supply chain management Stochastic models Stochastic programming Variational Inequalities

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Source: OpenAlex · Note: citations accumulate over time so older years appear higher

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Subject Classification