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 ...

Abstract: The Dynamic Vehicle Routing Problem with Time Windows (DVRPTW) is a widespread real-world challenge, and numerous algorithms have been proposed to address it. However, in the context of an ...

In 1758, Swedish biologist Carl Linnaeus gave humans a scientific name: Homo sapiens, which means "wise human" in Latin. Although Linnaeus grouped humans with other apes, it was English biologist ...

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...

An international team led by the Clínic-IDIBAPS-UB along with the Institute of Cancer Research, London, has developed a new method based on DNA methylation to decipher the origin and evolution of ...

A new evolutionary technique from Japan-based AI lab Sakana AI enables developers to augment the capabilities of AI models without costly training and fine-tuning processes. The technique, called ...

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ABSTRACT: Supply chain networks, which integrate nodes such as suppliers, manufacturers, and retailers to achieve efficient coordination and allocation of resources, serve as a critical component in ...

We speak of evolutionary algorithms in terms of genetic mutation, which are used to produce optimized features or objects and improve the efficiency of the task at hand. A simulation is typically used ...

In the context of Internet of Things (IoT), optimizing quality of service (QoS) parameters is a critical challenge due to its heterogeneous and resource-constrained nature. This paper proposes a novel ...

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AI refines by making a guess Simplest method is to travel in the direction of improvement - hill climbing (maximizing a number) or gradient descent (minimize a number) Sometimes we might end up at the ...