2 edition of Tools for reformulating logical forms into zero-one mixed integer programs (MIPS) found in the catalog.
Tools for reformulating logical forms into zero-one mixed integer programs (MIPS)
by Brunel University, Department of Mathematics and Statistics in Uxbridge
Written in English
|Statement||by C. Lucas, G. Mitra and S. Moody.|
|Contributions||Mitra, Gautam., Moody, Shirley A.|
|The Physical Object|
|Number of Pages||27|
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Tools for reformulating logical forms into zero-one mixed integer programs. European Journal of Operational Research, (72)–, zbMATH CrossRef Google Scholar Cited by: Mitra, G., C. Lucas, S. Moody, and E. Hadjiconstantinou, Tools for reformulating logical forms into zero-one mixed integer programs, European Journal of Operational Research 72 () – zbMATH CrossRef Google ScholarCited by: 2.
"Tools for reformulating logical forms into zero-one mixed integer programs," European Journal of Operational Research, Elsevier, vol. 72(2), pagesJanuary. A Volgenant & A de Waal, " A heuristic for multiple-feeder PCB manufacturing," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol.
57(9 Author: Les R. Foulds, Bilal Toklu, John M. Wilson. "Tools for reformulating logical forms into zero-one mixed integer programs," European Journal of Operational Research, Elsevier, vol.
72(2), pagesJanuary. Ramesh & Mark H. Karwan & Stanley Zionts, "Tools for reformulating logical forms into zero-one mixed integer programs," European Journal of Operational Research, Elsevier, vol. 72(2), pagesJanuary. Full references (including those not matched with items on IDEAS).
Mitra, G., C. Lucas, and S. Moody,`Tools for reformulating logical forms into zero-one mixed integer programs’, European of Operational Resea – CrossRef Google Scholar Rustem, B.,`A constrained Min-max Algorithm for Rival Models of the same Economic System’, Mathematical Programm –Cited by: 1.
A systematic procedure for transforming a set of logical statements or logical conditions imposed on a model into an Integer Linear Programming (ILP) formulation or a Mixed Integer Programming. Mitra, C. Lucas, S.
Moody and E. Hadjiconstantinou, Tools for Reformulating Logical Forms into Zero-One Mixed Integer Programs. European Journal of Operational Research 72 () – CrossRef Google ScholarCited by: Savelsbergh, M.W.P.: Preprocessing and probing for mixed integer programming problems.
ORSA J. Comput. 6, – () MathSciNet CrossRef zbMATH Google ScholarCited by: 2. Dr Cormac Lucas Senior Lecturer. Tower A Email: @ C., Moody, S. and Hadjiconstantinou, E. () 'Tools for reformulating logical forms into zero-one mixed integer programs'. European Journal of Operational Research, 72 (2).
- ISSN: Brunel University London Kingston Lane Uxbridge Middlesex UB8 3PH Occupation: Senior Lecturer. G. Mitra, C. Lucas, S. Moody, E. HadjiconstantinouTools for reformulating logical forms into zero–one mixed integer programs European Journal of Operational Research, 71 (), pp.
Google ScholarCited by: Extending the QCR method to general mixed-integer programs 22 May | Mathematical Programming, Vol. No. An improved linearization technique for a class of quadratic programming problemsCited by: Tools for Reformulating Logical Forms into Zero-One Mixed Integer Programs (MIPS), European Journal of Operational Research, Vol, No.2,pp, Jan.
North Holland, G. Mitra, C. Lucas, S. Moody and E. Hadjiconstantinou. (J) Solving Large Scale Linear Programming Problems Using an Interior Point Method on.
Rules are given that permit polynomial programming problems to be converted to linear programming problems in a manner that replaces cross-product terms by continuous rather than integer variables. Since the difficulty of mixed integer programming problems often depends more strongly on the number of integer variables than on the number of continuous variables, such rules are expected Cited by: A Conditional Logic Approach for Strengthening Mixed Linear Programs Article in Annals of Operations Research (1) October with 9 Reads How we measure 'reads'.
A wide range of problems can be modeled as Mixed Integer Linear Program-ming (MILP) problems using standard formulation techniques. However, in some cases the resulting MILP can be either too weak Author: Juan Pablo Vielma.
An approximation algorithm for quadratic cost mixed integer programming problems Electronics and Communications in Japan (Part III: Fundamental Electronic Science), Vol. 82, No. 6 Optimal assignment of priorities for the machine interference problemsCited by: and ¬ into MIP-formulations, s ince expressions with xo r, ⇐, ⇒ and ⇔ can b e reformulated into log ical expressions containing only the former three opera tions, see T able 3.
Global optimization of mixed-integer bilevel programming problems. Computational Management Science, 2, Article in Computational Management Science 2(3). This paper gives rules that enable the transformation of a polynomial programming problem into a linear programming problem to be effected with reduced numbers of constraints.
Rules are also given that provide reduced numbers of variables when the true variables of interest are not individual cross-product terms, but sums of such terms or polynomials of the form (∑xj) by:. Full text of "Introduction To Operations Research 10th Ed [ ]" See other formats.Proceedings of the European Workshop on Mixed Integer Nonlinear Programming April - CIRM - Marseille - France Pierre Bonami Leo Liberti Andrew J.
Miller Annick Sartenaer 1LIF, Universit´ e de la M´ editerran´ ee, Marseille, France. [email protected] 2LIX, Ecole ´ .The Sharpest Cut is written in honor of Manfred Padberg, who has made fundamental contributions to both the theoretical and computational sides of integer programming and combinatorial optimization.
This outstanding collection presents recent results in these areas that .