[{"command":"insert","method":null,"selector":".course-modal-ajax-placeholder-968270","data":"\u003Cdiv class=\u0022container content-rte\u0022\u003E\n  \u003Cdiv class=\u0022row\u0022\u003E\n    \u003Cdiv class=\u0022box col-md-6 bg-primary text-white\u0022\u003E\n      \u003Ch2 class=\u0022h1 text-left\u0022\u003E  Compl\u00e9ment en Recherche op\u00e9rationnelle\n\u003C\/h2\u003E\n                  \u003Cdiv class=\u0022field-spacing\u0022\u003E\n        \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EECTS :\n          4\n        \u003C\/div\u003E\n      \u003C\/div\u003E\n                  \u003Cdiv class=\u0022field-spacing\u0022\u003E\n        \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ESemestre calendaire :\n          Semester 2\n        \u003C\/div\u003E\n      \u003C\/div\u003E\n            \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ED\u00e9tail du volume horaire\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                          \u003Cspan class=\u0022field__label h4 mt-5 \u0022\u003ECours magistraux :\u003C\/span\u003E\n                                      \u003Cspan\u003E24.5\u003C\/span\u003E\n                      \u003C\/div\u003E\n                                              \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                          \u003Cspan class=\u0022field__label h4 mt-5 \u0022\u003ETravaux dirig\u00e9s :\u003C\/span\u003E\n                                      \u003Cspan\u003E17.5\u003C\/span\u003E\n                      \u003C\/div\u003E\n                                                            \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ELangue d\u0026#039;enseignement\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003EAnglais\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EEnseignement \u00e0 distance\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003Enon\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n      \u003C\/div\u003E\n    \u003Cdiv class=\u0022box col-md-6\u0022\u003E\n            \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EPr\u00e9requis\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cp\u003EOptimisation et Recherche op\u00e9rationnelle\u003C\/p\u003E\n\u003Cp\u003EOptimisation and Operations Research\u003C\/p\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EProgramme \/ plan \/ contenus\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cp\u003EPart 1. Linear programming complements\u003C\/p\u003E\n\u003Col\u003E\n\u003Cli\u003EDuality in Linear Programming\u003C\/li\u003E\n\u003Cli\u003EDuality\u003C\/li\u003E\n\u003Cli\u003ESensitivity analysis \/ Parametrization\u003C\/li\u003E\n\u003Cli\u003EPLNE and tree methods\u003C\/li\u003E\n\u003Cli\u003EProblems\u003C\/li\u003E\n\u003Cli\u003EBranch and Bound\u003C\/li\u003E\n\u003Cli\u003EModeling\u003C\/li\u003E\n\u003Cli\u003EUsing a solver\u003C\/li\u003E\n\u003Cli\u003EMetaheuristics\u003C\/li\u003E\n\u003Cli\u003ELocal search\u003C\/li\u003E\n\u003Cli\u003ESimulated Annealing-\u003C\/li\u003E\n\u003Cli\u003ETaboo method\u003C\/li\u003E\n\u003Cli\u003EVariable neighborhood methods\u003C\/li\u003E\n\u003C\/ol\u003E\n\u003Cp\u003EPart 2. Computer Modeling and Operational Research Problem Solving\u003C\/p\u003E\n\u003Cul\u003E\n\u003Cli\u003EClassic programming, Solver excel,\u003C\/li\u003E\n\u003Cli\u003EDedicated software like glpk or cplex.\u003C\/li\u003E\n\u003C\/ul\u003E\n\u003Cp\u003EPart 3. Solving large problems\u003C\/p\u003E\n\u003Cul\u003E\n\u003Cli\u003EMethod of column generation and decomposition of Danzig-Wolfe: application to cutting stock problem, vehicles routing problem ...\u003C\/li\u003E\n\u003C\/ul\u003E\n\u003Cp\u003EProject.\u003Cbr\u003E\nImplementation on concrete problems of optimization in the field of energy: modeling and management of a hydraulic valley, management of a power station, calculation of gas routing network, portfolio management of contracts between gas producers, infrastructure managers, and consumers ...\u003C\/p\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EObjectifs d\u0026#039;apprentissage\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cp\u003EThe objective of this course is to add linear programming complements and to give a concrete aspect by the modeling of problems, the implementation of methods and the use of mathematical programming software.\u003C\/p\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EOrganisation g\u00e9n\u00e9rale et modalit\u00e9s p\u00e9dagogiques\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cp\u003ELes s\u00e9ances de l\u2019UE se r\u00e9partissent en cours magistraux suivis de TD ou de TP dans les proportions d\u2019environ un tiers de cours et deux tiers de TD ou TP.\u003C\/p\u003E\n\u003Cp\u003EL\u2019\u00e9valuation se decompose en deux parties: un examen \u00e9crit (14 points) + un projet (6 points)\u003C\/p\u003E\n\u003Cp\u003EThe EU sessions are divided into lectures followed by TD or TP in the proportions of about one third of courses and two thirds of TD or TP.\u003C\/p\u003E\n\u003Cp\u003EThe assessment is divided into two parts: a written exam (14 points) + a project (6 points).\u003C\/p\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n                        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EBibliographie\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cul\u003E\n\u003Cli\u003EV. Chvatal : Linear Programming, Freeman, 1983. - A. Billionnet : Optimisation Discr\u00e8te: De la mod\u00e9lisation \u00e0 la r\u00e9solution par des logiciels de programmation math\u00e9matique, Dunod, 2007 - M. Minoux : Programmation math\u00e9matique : Th\u00e9orie et algorithmes, T.\u003C\/li\u003E\n\u003C\/ul\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ENature de l\u0026#039;\u00e9valuation\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003EEvaluation Continue non Int\u00e9grale\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n      \u003C\/div\u003E\n  \u003C\/div\u003E\n\u003C\/div\u003E\n","settings":null}]