Users can note which content they would like to view more frequently. Instagram is handing users some control in deciding what content they see. The social media giant is allowing users to have a say ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

The fitness-dependent optimizer (FDO) has recently gained attention as an effective metaheuristic for solving different optimization problems. However, it faces limitations in exploitation and ...

Knapsack problem applied to allocating medical infrastructure for cities in the United States. Implemented using IBM Qiskit using a QAOA optimization algorithm ...

Abstract: Quantum computing has the potential to improve our ability to solve certain optimization problems that are computationally difficult for classical computers by offering new algorithmic ...

Simulation of the Quantum Approximate Optimization Algorithm (QAOA) was performed using the Cirq software library installed on the HybriLIT quantum computing testbed at JINR. The problem of finding ...

Abstract: This paper reviews a hybrid quantum-classical distributed algorithm for NP-hard combinatorial optimization problems, which is embedded in IBM Qiskit's Alternating Direction Method of ...

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and more useful. PROVIDENCE, R.I. [Brown University] — With the rise of 3D ...