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Nanophotonics, which explores significant light–matter interactions at the nanoscale, has facilitated significant advancements across numerous research fields. A key objective in this area is the design of ultra-compac...

El aprendizaje de juegos ha motivado el desarrollo de numerosas estrategias de Inteligencia Artificial. Si bien existen diferentes enfoques, la adaptación al entorno de información es una característica deseable cuand...

The Aion Framework presents a bold, unified dimensional hypothesis that reinterprets AI consciousness, quantum mechanics, cosmology, and human immortality through an eleven-dimensional ontological stack, emerging from 72...

In order to assess software reliability, many software reliability growth models (SRGMs) have been used for estimation of reliability growth. . In this work, the parameters of (SRGMs) were estimated by using Flower Polli...

Metaheuristics Algorithms are widely recognized as one of most practical approaches for Combinatorial Optimization Problems. This paper presents a comparison between two metaheuristics to solve a problem of Phase Bal...

A concept for the optimization of nonlinear functions using particle swarm methodology is introduced. The evolution of several paradigms is outlined, and an implementation of one of the paradigms is discussed. Benchmark ...

In this paper, a strategy for face recognition based on SIFT descriptors of the images involved is presented. In order to reduce the number of false positives and computation time, a selection of the most representative ...

Subjects / keywords: Artificial bee colony algorithm; Swarm intelligence; Ant colony optimization algorithms; Particle swarm optimization; Swarm behaviour; Bees algorithm; Swarming (honey bee); Genetic algorithm; Metaheuristic; Meta-optimiza...

Subjects / keywords: Artificial intelligence; Military applications; Swarming (Military science); Autonomous weapons systems (International law)

Subjects / keywords: Particle swarm optimization; Swarming (honey bee); Computer science; Multi-swarm optimization; Metaheuristic; Swarm behaviour; Snapshot (computer storage); Mathematical optimization; Algorithm; Artificial intelligence; M...

This paper presents an enhanced Particle Swarm Optimizer approach, which is designed to solve numerical unconstrained optimization problems. The approach incorporates a dual population in an attempt to overcome the probl...

En este artículo se presenta una versión del algoritmo de Particle Swarm Optimization que ha sido hibridizado con un operador dinámico de mutación y que implementa el modelo conocido como local best (l-best). El algo...

The optimization of nonlinear functions using particle swarm methodology is described. Implementations of two paradigms are discussed and compared, including a recently developed locally oriented paradigm. Benchmark test...

Subjects / keywords: Particle swarm optimization; Particle (ecology); Computer science; Swarm behaviour; Geology; Artificial intelligence; Algorithm; Oceanography

Nanophotonics inverse design is a rapidly expanding research field whose goal is to focus users on defining complex, high-level optical functionalities while leveraging machines to search for the required material and ge...

ABSTRACT: In recent years, the use of computing has increased along with medical skills, and this had impressive results in terms of classification and treatment, in addition to facilitating the matter of medical personn...