Punnen, Discrete Mathematics and Graph Theory ... (editor), The Quadratic Unconstrained Binary Optimization Problem: Theory, Algorithms, and applications. Springer 2022 G. Gutin and A.P. Punnen, ...

Moreover, nonlinear optimization can be computationally expensive in terms of time and memory, so care must be taken when matching an algorithm to a problem. the function value (optimization criterion ...

Methods for NP-hard discrete optimization problems ... They will be able to implement the algorithms designed using modeling and optimization software such as AMPL, CPLEX and Gurobi.

As quantum computing hardware advances, the demand for scalable, precise, and fully automated verification techniques for ...

Shenzhen, May 14, 2025 (GLOBE NEWSWIRE) -- MicroAlgo Inc. Announces Research on Quantum Information Recursive Optimization (QIRO) Algorithm, for Combinatorial Optimization Problems to Expand and ...

The next question was to find out whether well-known models like QUBO can be solved with quantum algorithms – and if so, which solvers work better. Using IBM's Qiskit optimization module ...

Deciphering algorithms used by ants and the Internet Date: March 1, 2022 Source: Cold Spring Harbor Laboratory Summary: Scientists found that ants and other natural systems use optimization ...