Abstract:Problem-solving procedures based on the methods of combinatorial programming are presented for solving a class of integer programming problems in which all elements are zero or one. All of the procedures seek first a feasible solution and then successively better and better feasible solutions until ultimately one is discovered which is shown to be optimal. By representing the problem elements in a binary computer as bits in a word and employing logical "and" and "or" operations in the problem-solving process, … Show more
“…A lexicographic in-situ sort is employed to express the SPP in block-staircase form (e.g., Christofides and Korman 1975, Garfinkel and Newhauser 1969, Pierce 1968. Rows may also be reordered by length (e.g., Marsten 1974).…”
A crude oil tanker scheduling problem faced by a major oil company is presented and solved using an elastic set partitioning model. The model takes into account all fleet cost components, including the opportunity cost of ship time, port and canal charges, and demurrage and bunker fuel. The model determines optimal speeds for the ships and the best routing of ballast (empty) legs, as well as which cargos to load on controlled ships and which to spot charter. All feasible schedules are generated, the cost of each is accurately determined and the best set of schedules is selected. For the problems encountered, optimal integer solutions to set partitioning problems with thousands of binary variables have been achieved in less than a minute.transportation: planning, set partitioning, enumerative methods
“…A lexicographic in-situ sort is employed to express the SPP in block-staircase form (e.g., Christofides and Korman 1975, Garfinkel and Newhauser 1969, Pierce 1968. Rows may also be reordered by length (e.g., Marsten 1974).…”
A crude oil tanker scheduling problem faced by a major oil company is presented and solved using an elastic set partitioning model. The model takes into account all fleet cost components, including the opportunity cost of ship time, port and canal charges, and demurrage and bunker fuel. The model determines optimal speeds for the ships and the best routing of ballast (empty) legs, as well as which cargos to load on controlled ships and which to spot charter. All feasible schedules are generated, the cost of each is accurately determined and the best set of schedules is selected. For the problems encountered, optimal integer solutions to set partitioning problems with thousands of binary variables have been achieved in less than a minute.transportation: planning, set partitioning, enumerative methods
“…Pierce [14] created a purely enumerative procedure to solve the partitioning problem; according to comparative testing made at MJ.T., it seemed to perform better than group theory for problems with few (less than 50) rows and several hundred columns; in these cases. Pierce's method was faster than the LP solution itself !…”
“…Nous avons montré dans [1] (1,2,3,6,7,10), (1,4,5,6,8,11), (2,5,7,8,9,12), (3,4,9,10,11,12), (5,6,7,10,11,12) où (1,2,3,4,8,9), par exemple, correspond à la contrainte x A + x 2 + x 3 + x 4 + x 8 + x 9 -1.…”
Section: Graphe Associé Au Problème De Partitionnementunclassified
“…Le problème de partitionnement PP : où A = (a ij ) est une m xn matrice donnée et telle que a tj = 0 ou 1; e, un m xl vecteur dont tous les éléments sont égaux à 1; c, un lxn vecteur à coefficients positifs connus; x, le vecteur nxl des inconnues xy, est un problème très contraint qui se résout bien par énumération implicite [10,6]. Cependant ces auteurs développent d'importantes arborescences.…”
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