Abstract: Multi-objective evolutionary algorithms (MOEAs) have demonstrated significant success in solving multi-objective optimization problems (MOPs). However, their performance is highly sensitive ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Over the past few decades, engineers have developed various devices that can create holograms, three-dimensional (3D) or ...

Against the backdrop of global change—characterized by climate warming, shifting precipitation patterns, and intensified anthropogenic disturbances—the ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

Learn how multi-location brands fix complex marketing & GBP challenges with an AI layer and a 4-step local optimization ...

The DOE's Quantum Genesis initiative timeline aims to deliver the first fault-tolerant quantum computer by 2028, a major move ...

Cyrus Finance is a next-generation multi-platform DeFi ecosystem built on an advanced curve trading model, using AMM V3 ...

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.

Abstract: Multi-objective multi-point shortest path planning problems are commonly encountered in real-world applications. Numerous path planning algorithms have been proposed to accommodate different ...