Results 21 to 30 of about 5,749 (206)
Hyper-heuristics are widely used for solving numerous complex computational search problems because of their intrinsic capability to generalize across problem domains.
Stephen A. Adubi +2 more
doaj +1 more source
Performance Comparison of Typical Binary-Integer Encodings in an Ising Machine
The differences in performance among binary-integer encodings in an Ising machine, which can solve combinatorial optimization problems, are investigated.
Kensuke Tamura +4 more
doaj +1 more source
Quantum annealing has the potential to outperform classical transistor-based computer technologies in tackling intricate combinatorial optimization problems. However, ongoing scientific debates cast doubts on whether quantum annealing devices (or quantum
Jehn-Ruey Jiang, Chun-Wei Chu
doaj +1 more source
A Dynamic Programming Heuristic for the Quadratic Knapsack Problem [PDF]
It is well known that the standard (linear) knapsack problem can be solved exactly by dynamic programming in 𝒪(nc) time, where n is the number of items and c is the capacity of the knapsack. The quadratic knapsack problem, on the other hand, is NP-hard in the strong sense, which makes it unlikely that it can be solved in pseudo-polynomial time.
Franklin Djeumou Fomeni +1 more
openaire +1 more source
PKCHD: Towards a Probabilistic Knapsack Public-Key Cryptosystem with High Density
By introducing an easy knapsack-type problem, a probabilistic knapsack-type public key cryptosystem (PKCHD) is proposed. It uses a Chinese remainder theorem to disguise the easy knapsack sequence. Thence, to recover the trapdoor information, the implicit
Yuan Ping +4 more
doaj +1 more source
Gradual sub-lattice reduction and a new complexity for factoring polynomials [PDF]
We present a lattice algorithm specifically designed for some classical applications of lattice reduction. The applications are for lattice bases with a generalized knapsack-type structure, where the target vectors are boundably short.
A. Akhavi +15 more
core +5 more sources
Translating Constraints into QUBOs for the Quadratic Knapsack Problem
One of the first fields where quantum computing will likely show its use is optimisation. Many optimisation problems naturally arise in a quadratic manner, such as the quadratic knapsack problem. The current state of quantum computers requires these problems to be formulated as a quadratic unconstrained binary optimisation problem, or QUBO. Constrained
Tariq Bontekoe +2 more
openaire +3 more sources
Store-and-forward based methods for the signal control problem in large-scale congested urban road networks [PDF]
The problem of designing network-wide traffic signal control strategies for large-scale congested urban road networks is considered. One known and two novel methodologies, all based on the store-and-forward modeling paradigm, are presented and compared ...
Abu-Lebdeh +19 more
core +1 more source
Estimation of Distribution Algorithm Based on Lévy Flight for Solving the Set-Union Knapsack Problem
This article investigates how to use the estimation of distribution algorithm based on Lévy flight to solve the set-union knapsack problem (SUKP). First, the mathematical model of the SUKP is introduced.
Xue-Jing Liu, Yi-Chao He
doaj +1 more source
Recovery of binary sparse signals from compressed linear measurements via polynomial optimization [PDF]
The recovery of signals with finite-valued components from few linear measurements is a problem with widespread applications and interesting mathematical characteristics.
Abuabiah, Mohammad, Fosson, Sophie M.
core +2 more sources

