000			02726nas a22003735i 4500
001			2214-2495
003			DE-He213
005			20260610082535.0
007			cr nn 008mamaa
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022			_a2214-2495
024	7		_a10.1007/10852.1572-9214 _2doi
210	1	0	_aJ Math Model Algor
245	1	0	_aJournal of Mathematical Modelling and Algorithms in Operations Research _h[electronic resource] / _cedited by Victor J. Rayward-Smith.
264		1	_aDordrecht : _bSpringer Netherlands : _bImprint: Springer.
300			_bonline resource.
520			_aThe JMMA takes the term “Operations Research” in its widest context, welcoming papers in mathematical programming: linear, integer, fractional, nonlinear, dynamic; and multi-objective programming: heuristic and metaheuristic techniques; probabilistic approaches: Bayesian approaches and multi-criteria decision analysis, simulation and stochastic processes; datamining and machine learning; network and graph algorithms. The journal welcomes papers that describe novel modelling and/or algorithmic techniques and particularly welcomes papers that describe applications to real world problems. Accepted papers will generally be in-depth studies and will always be written in a good standard of in English. However, for authors whose first language is not English, some assistance will be available should that be needed. Authors of papers are encouraged to submit relevant code as supplementary material. Such code will be made available to referees but will not formally be part of the refereeing process. Should a paper be accepted by the journal, such supplementary code will be made available to the readership of the journal for research purposes only. Downloading of such code will be at the reader’s own risk and the journal can accept no responsibility whatsoever for such code. However, sharing code in this way should help the development of research in OR and the journal is keen to support this.
650		0	_aOperations research.
650		0	_aManagement science.
650		0	_aMathematical optimization.
650		0	_aAlgorithms.
650		0	_aMathematical models.
650		0	_aData mining.
650	1	4	_aOperations Research, Management Science.
650	2	4	_aOptimization.
650	2	4	_aAlgorithms.
650	2	4	_aMathematical Modeling and Industrial Mathematics.
650	2	4	_aData Mining and Knowledge Discovery.
700	1		_aRayward-Smith, Victor J. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
776	0	8	_iPrinted version: _x2214-2487
856	4	0	_uhttps://doi.org/10.1007/10852.1572-9214
999			_c4538 _d4538