Many engineering design optimization problems can be represented as mixed-variable optimization problems. This study presents a heuristic approach for solving mixed-variable optimization using ...

This research offers the optimization model, which is Pure integer linear programming (PILP), to solve the product mix problem based-on resources of time. The objective function is to maximize profit.

However, their support for problems with only binary variables severely restricts the scope of practical problems that can be efficiently embedded. We build analog iterative machine (AIM), the first ...

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and ...

Find out more about AI has become part of our daily routines even though how it works may be invisible, don't miss it.

Quantum infrastructure software is redefining quantum computing by automating calibration, optimizing workloads, and letting ...

Monster Hunter Wilds title update 2 arrives, as Capcom brings back classic monsters while also fixing the woeful performance ...

Despite the impressive and undeniable strides quantum computing has made in recent years, it’s important to remain cautious ...

QBTS surges 1312% as enterprise demand, quantum supremacy claims, and its Advantage2 rollout lift its near-term edge over IBM ...

Scientists in Iran have developed a novel framework to optimize the capacity of PV and battery storage in smart homes, using a two-stage stochastic programming model. They considered the uncertainties ...

Kipu Quantum, a leader in application and hardware-specific quantum computing solutions, and IonQ (NYSE: IONQ), a leading commercial quantum computing and networking company, proudly announced a ...