Quantum computing has moved from physics labs into boardroom slide decks, promising to crack problems that leave even the ...

As renewable power rapidly reshapes global electricity systems, engineers face a growing challenge: how to operate increasingly complex grids with ...

Japan Quantum Computing Market size is expected to be worth around USD 3,875.8 Million by 2033, growing at a CAGR of 34% ...

AI hallucination is often misread as creativity. This explains why it’s a symptom of optimization fatigue, and what that ...

A hybrid geothermal–biomass system integrates multigeneration heating, cooling, and power through thermodynamic and economic optimization.

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...

Abstract: The Zebra Optimization Algorithm (ZOA) is a newly proposed biology-based metaheuristic method drawn from zebras in nature, designed to tackle optimization problems. As with other ...

As algorithms become more widespread within government institutions, there are two basic challenges. One is to design better ...

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 ...

Abstract: In this article, the distributed form of the zeroing neural network for solving time-varying optimal problems is put forward. Compared with traditional centralized algorithms, distributed ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do it for some critical optimization tasks. For ...