Preparation for Using Optimization Algorithms It is rare that a problem is submitted to an optimization algorithm "as is." By making a few changes in your problem, you can reduce its complexity, that ...

When selecting an optimization algorithm for a nonlinear engineering design problem, there is no one-size-fits-all solution. Rather, the choice of algorithm depends on a variety of factors, such ...

This article presents a new algorithm to optimize the multivariate optimal allocation problem. Many researchers have studied and proposed new methods for the solution this problem, which can be ...

Within any application category or set of characteristics there are many optimization algorithms that are equivalently effective. Criteria for algorithm preference include robustness to surface ...

The importance of the UAV path-planning problem lies in ensuring the safe and efficient completion of tasks by UAVs while maximizing resource utilization and minimizing risks. Addressing this issue, a ...

SHENZHEN, China, May 12, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ('HOLO” or the 'Company'), a technology service provider, announced the development of a groundbreaking ...

No algorithm for optimizing general nonlinear functions exists that always finds the global optimum for a general nonlinear minimization problem in a reasonable amount of time. Since no single ...

HOLO's nonlinear quantum optimization algorithm has achieved groundbreaking progress in theoretical research while also showcasing broad prospects across multiple real-world application scenarios.