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List of knapsack problems information


The knapsack problem is one of the most studied problems in combinatorial optimization, with many real-life applications. For this reason, many special cases and generalizations have been examined.[1][2]

Common to all versions are a set of n items, with each item having an associated profit pj and weight wj. The binary decision variable xj is used to select the item. The objective is to pick some of the items, with maximal total profit, while obeying that the maximum total weight of the chosen items must not exceed W. Generally, these coefficients are scaled to become integers, and they are almost always assumed to be positive.

The knapsack problem in its most basic form:

maximize
subject to
  1. ^ Martello, Silvano and Toth, Paolo (1990). Knapsack Problems: Algorithms and Computer Implementations. John Wiley & Sons. ISBN 978-0471924203.{{cite book}}: CS1 maint: multiple names: authors list (link)
  2. ^ Cite error: The named reference KP-KPP was invoked but never defined (see the help page).

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List of knapsack problems

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Knapsack problem

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Quadratic knapsack problem

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quadratic knapsack problem is a variation of knapsack problems, combining the features of unbounded knapsack problem, 0-1 knapsack problem and quadratic...

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systems. List of knapsack problems List of network theory topics List of graphical methods List of mathematics-based methods List of rules of inference...

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Subset sum problem

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case of the knapsack problem and of the multiple subset sum problem. The run-time complexity of SSP depends on two parameters: n - the number of input...

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the knapsack problem. The problem can be formulated as an integer linear programming problem. A paper machine can produce an unlimited number of master...

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Combinatorial optimization

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optimization problems are the travelling salesman problem ("TSP"), the minimum spanning tree problem ("MST"), and the knapsack problem. In many such problems, such...

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P versus NP problem

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to the problem in practice. There are algorithms for many NP-complete problems, such as the knapsack problem, the traveling salesman problem, and the...

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Bin packing problem

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including a number of bin packing algorithms and test data. Martello, Silvano; Toth, Paolo (1990), "Bin-packing problem" (PDF), Knapsack Problems: Algorithms...

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Distributed constraint optimization

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distributed multiple- variant of the knapsack problem is as follows: given a set of items of varying volume and a set of knapsacks of varying capacity, assign...

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Algorithm

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practical value for many hard problems. One of the examples of an approximate algorithm is the Knapsack problem, where there is a set of given items. Its goal...

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Genetic algorithm

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measures the quality of the represented solution. The fitness function is always problem-dependent. For instance, in the knapsack problem one wants to maximize...

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Backtracking

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most convenient technique for parsing, for the knapsack problem and other combinatorial optimization problems. It is also the program execution strategy used...

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Birthday problem

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approximation is not always exact. A related problem is the partition problem, a variant of the knapsack problem from operations research. Some weights are...

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Lapstone Zig Zag

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zag was listed on the Blue Mountains local government heritage register on 27 December 1991; while the adjacent Knapsack Viaduct was listed on the New...

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Eitan Zemel

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for solving large knapsack problems and which are used in almost every efficient algorithm for this type of problem. Other areas of Zemel's research include...

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Silvano Martello

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significant contributions in the areas of knapsack and assignment problems, packing problems, and vehicle routing. As of 2023, he published 160 peer-reviewed...

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Short integer solution problem

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Short integer solution (SIS) and ring-SIS problems are two average-case problems that are used in lattice-based cryptography constructions. Lattice-based...

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Ant colony optimization algorithms

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tree problem (AWlCTP) Multiple knapsack problem (MKP) Maximum independent set problem (MIS) Ant colony optimization (ACO) based optimization of 45 nm...

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Rascal Does Not Dream

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Computational complexity theory

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solve the problem in reasonable times in most cases. Similarly, algorithms can solve the NP-complete knapsack problem over a wide range of sizes in less...

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Decision support system

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