ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

"Buy cheap, buy twice," the old saying goes, and it's one so many of us have been stung by. It's always difficult to resist the siren call of what looks to be a good bargain, but you don't want to ...

This paper delves into how to collaboratively reduce emissions of sulfur dioxide, nitrogen oxides, and carbon dioxide through rational energy consumption and governance investment strategies with ...

See how a leading operator increased the effectiveness of capital deployment, improved resource utilization and accelerated planning. Get an inside look at the strategies and tools they used to reach ...

Abstract: The Taguchi method is an efficient method for machine optimization design. Unfortunately, the conventional Taguchi method is hard to obtain a complete set of nondominated solutions due to ...

Your content might be great, but if AI platforms aren’t surfacing it, your audience won’t see it. As generative search reshapes the SERP, staying visible requires more than keywords and backlinks. You ...

In the context of using DNSGA2 to solve dynamic multi-objective optimization problems (DMOPs), a critical issue arises regarding the timing of the callback function execution and its impact on ...

The objective of the 3D-SCALO problem is to assign the given components to optimal mounting surfaces and position them at the best locations, while satisfying the requirements for (1) heat dissipation ...