Abstract: Evolutionary algorithms (EAs) exhibit diverse performance across different optimization problems, making the automated selection of the most suitable EA an important yet challenging task.

Abstract: Many-objective optimization problems are challenging and time-consuming, especially when the number of objectives is large. In this paper, an evolutionary algorithm inspired by quantum ...

The first time Marcela Cosarinsky saw a nest of Atta vollenweideri leaf-cutter ants, it was the late 1990s and she was in an ...

Beneath the neon lights of a laser-scanning microscope, newly classified species glow in vivid greens and oranges—a far cry from the pitch-black abyss of their natural ocean floor. Researchers have ...

ABSTRACT: Our study is based on modelling the Vehicle Routing Problem with Time Windows (VRPTW) and mobility of certain customers. The distribution network consists of a depot, a uniform fleet of ...

In a remarkable deep-sea breakthrough, researchers have discovered 24 new species of amphipods in the Pacific’s Clarion-Clipperton Zone—including a rare, entirely new superfamily. The findings reveal ...