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 ...

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 ...

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 ...

Want your business to show up in Google’s AI-driven results? The same principles that help you rank in Google Search still matter – but AI introduces new dimensions of context, reputation, and ...

Join order optimization is among the most crucial query optimization problems, and its central position is also evident in the new research field where quantum computing is applied to database ...

Federated Feature Selection using Binary Firefly Algorithm (FBFA) and FRHC with MLP-based federated modeling for high-dimensional IoT and tabular data.

Building services with this library is pretty easy and lightweight. However, diving deeper into optimizations and binary sizes using this library shows that the two uses of AsyncAlgorithms bloats the ...

Abstract: Heart disease appears to be a significant worldwide medical concern and alarmingly, a leading cause of death. Accurate prediction and rapid diagnosis are important in providing timely ...