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 ...

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

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 ...

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

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 ...

Have you ever wondered why some businesses seem to grow much faster than others? Or why certain companies appear at the top ...

RGTI and QBTS tackle quantum computing from fundamentally different directions, gate-based vs. annealing-based. Which approach holds more promise for investors?

Databricks Agent Bricks automates enterprise AI agent optimization and evaluation, eliminating manual processes that block production deployments.