Titlebook: Combinatorial Optimization; New Frontiers in The Mustafa Akgül,Horst W. Hamacher,Süleyman Tüfek?i Conference proceedings 1992 Springer-Verl

符合規(guī)定

MUT

Genetic Algorithms: A New Approach to the Timetable Problem,g highly constrained optimization problems, where a minimal change to a feasible solution is very likely to yield an infeasible one. As a test problem, we have chosen the timetable problem (TTP), a problem that is known to be NP-hard [5], which has been intensively investigated for its practical rel

反感

Optimal Location of Concentrators in a Centralized Teleprocessing Network,ted network at gateway backbone nodes. In some cases, however, even large-scale networks are centralized systems. The terminals are linked together in groups sharing a multidrop line and connected to the host computer or to the backbone switch through a concentrator. By assuming that the terminals a

RADE

A Column Generation Algorithm for the Vehicle Routing Problem with Time Windows,ere is a cost .., and a duration ... We assume that the service time of customer . is included in the duration of each arc (., .). In this paper, the cost is taken to be the distance between . and .. The vehicle routing problem with time windows (VRPTW) involves the design of a set of minimum cost r

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連詞

NIB

The Linear Assignment Problem,y feasible trees. Most of them employ Dijkstra’s shortest path algorithm directly or indirectly. When properly implemented, each has the same complexity: O(..) for dense graphs with simple data structures and O(.. log . + .) for sparse graphs using Fibonacci Heaps.

Lipoprotein

Job Shop Scheduling,ime. Each job consists of a chain of operations, each of which needs to be processed during an uninterrupted time period of a given length on a given machine. The purpose is to find a schedule, i.e., an allocation of the operations to time intervals on the machines, that has minimum length.

inhumane

Genetic Algorithms: A New Approach to the Timetable Problem,g highly constrained optimization problems, where a minimal change to a feasible solution is very likely to yield an infeasible one. As a test problem, we have chosen the timetable problem (TTP), a problem that is known to be NP-hard [5], which has been intensively investigated for its practical relevance [2, 1]

SEMI

The Linear Complementary Problem, Sufficient Matrices and the Criss-Cross Method,n . × . square matrix. The pair (.,.) defines the . as follows: .Variables .. and .. for i = 1,...,. are called .. The coefficient in row . and column . of matrix . will be denoted by ... The solvability of . depends on the special properties of the coefficient matrix ..