Results 161 to 170 of about 417,011 (184)
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Swarm and Evolutionary Computation, 2019
The knapsack problem with a single continuous variable (KPC) is an extension of the standard 0–1 knapsack problem. It is an especial combinatorial optimization problem with continuous variable S so that its solution is more difficult.
Yichao He +4 more
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The knapsack problem with a single continuous variable (KPC) is an extension of the standard 0–1 knapsack problem. It is an especial combinatorial optimization problem with continuous variable S so that its solution is more difficult.
Yichao He +4 more
semanticscholar +1 more source
A linear-time algorithm for solving continuous maximin knapsack problems
Operations Research Letters, 1991The paper deals with the linear maximin problem \[ (KP)\text{ maximize } z=\min_{i\in M}\{\sum_{j\in J_ i}c_ jx_ j\} \] subject to \(\sum_{j\in N}a_ jx_ j\leq b\), \(0\leq x_ j\leq 1\), \(j\in N\), where \(M=\{1,...,m\}\), \(N=\{1,...,n\}\), \(J_ p\cap J_ q=\emptyset\), \(p\neq q\), and \(\cup_{i\in M}J_ i\subset N\). An O(n) algorithm for solving (KP)
Takahito Kuno +2 more
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A Binary Butterfly Optimization Algorithm for the Multidimensional Knapsack Problem
2020 6th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS), 2020The Multidimensional knapsack problem (MKP) is a well-known optimization problem with which many real-world engineering problems can be modeled. Due to its NP-hard nature, exact methods of solving the MKP are limited to small-scale problems.
Amirmohammad Shahbandegan, M. Naderi
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Robust Extensible Bin Packing and Revisiting the Convex Knapsack Problem
arXiv.orgWe study a robust extensible bin packing problem with budgeted uncertainty, under a budgeted uncertainty model where item sizes are defined to lie in the intersection of a box with a one-norm ball.
Noam Goldberg +2 more
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Fixed-charge continuous knapsack problems and pseudogreedy solutions
Mathematical Programming, 1999zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Symmetry
The Planet Optimization Algorithm (POA) is a meta-heuristic inspired by celestial mechanics, drawing on Newtonian gravitational principles to simulate planetary dynamics in optimization search spaces.
Yang Yang
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The Planet Optimization Algorithm (POA) is a meta-heuristic inspired by celestial mechanics, drawing on Newtonian gravitational principles to simulate planetary dynamics in optimization search spaces.
Yang Yang
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On the complexity of the continuous unbounded knapsack problem with uncertain coefficients
Operations Research Letters, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On Linear-Time Algorithms for the Continuous Quadratic Knapsack Problem
Journal of Optimization Theory and Applications, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Variable Fixing Algorithms for the Continuous Quadratic Knapsack Problem
Journal of Optimization Theory and Applications, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Innovative approximate solution methods and error estimation for the knapsack problem
Informatics and Control ProblemsA new innovative approximate solution method of the knapsack problem is developed. First, any approximate solution to the problem is found in the known manner. After that, the process of improving that solution is built successively. Here, a neighborhood
R. R. Niyazova
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