A comprehensive review of 204 studies and new experiments on the CEC 2024 benchmark show that non-linear population size ...

TSD, a three-population, two-stage evolutionary algorithm that significantly outperforms seven state-of-the-art methods on ...

I brought up this topic with the AI (Gemini).It showed a response that exceeded my expectations, so I want to keep almost the entire text here.Me:This is a digression, but humans have creatures they ...

"Intelligence that Turns the Universe into a Computer" and "Humanity Leaving the Cradle"— The Evolutionary History of Manned ...

Numerous real-world applications involve large-scale multi-objective optimization problems (LSMOPs) with hundreds or even thousands of decision variables. Although multi-objective evolutionary ...

Demographic systems face unprecedented challenges from simultaneous crises. Conventional statistical demography techniques and agent–based models often struggle to capture nonlinear inter–regional ...

Abstract: When employing evolutionary algorithms (EAs) to solve multimodal optimization problems (MMOPs), effectively utilizing diversity information is crucial to prevent the population from ...

The repeated evolution of avian obligate brood parasitism (OBP) across diverse lineages represents a major evolutionary puzzle. While host-parasite coevolution has been extensively studied, the ...

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 ...

Collective behavior is ubiquitous and highly structured in the natural world, allowing individuals to coordinate and cooperate in pursuit of common aims. The field of evolutionary game theory helps ...

The catalytic activity of a particular enzyme can vary widely between orthologs in different species, depending on their environment and specific metabolic needs. But how do such differences evolve ...

Evolutionary algorithms constitute a class of population-based metaheuristic methods inspired by the mechanisms of natural selection, genetic variation and survival of the fittest. By iteratively ...