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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 ...

Materie / parole chiave: Particle swarm optimization; Particle (ecology); Computer science; Swarm behaviour; Geology; Artificial intelligence; Algorithm; Oceanography

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

In this paper, optimization procedures based on particle swarm optimization (PSO) are investigated, aiming to efficiently solve the optimal resource allocation for signal-to-noise plus interference ratio (SNIR) optimizat...

Abstract According to statistic data, machinery faults contribute to largest proportion of High-voltage circuit breaker failures, and traditional maintenance methods exist some disadvantages for that issue. Therefore, ba...

Particle Swarm Optimization (PSO) ha sido utilizado exitosamente en diferentes áreas como optimización mutidimensional y multiobjetivo, y entrenamiento de redes neuronales entre otras, pero existen actualmente pocos re...

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...

En este trabajo, proponemos el uso de un algoritmo de optimización mediante cúmulos de partículas (PSO, por las siglas en inglés), el cual, utilizando el simulador de tráfico SUMO para su entrenamiento, es capaz de ...

It is important to determine the seepage field parameters of high earth-rock-fill dam using the observed seepage data during operation period. For Nuozhadu core rockfill dam, the training samples are produced for saturat...

Abstract A precise detection of the fault feature parameter of motor current is a new research hotspot in the broken rotor bar (BRB) fault diagnosis of induction motors. Discrete Fourier transform (DFT) is the most popul...

Abstract Recently a surface plasmon resonance (SPR) optical sensor, based on the Otto configuration — the Otto chip — has been developed. One essential step in the quality control of the fabrication process is charac...

A novel method is presented to design the configuration of pumping lasers of Raman amplifiers using a multi-objective particle swarm optimizer. The goal is to obtain the pump laser wavelengths and powers that maximize th...

ObjectiveTo address the problems of a single-objective optimization easily falling into local optima and the insufficient coordination between the collision detection and the planning in the obstacle avoidance trajectory...

Optimal power flow by considering the non-smooth cost curve using the meta-heuristic algorithm method, namely particle swarm optimization (PSO) in the 150 kV Sulselrabar electrical system. In this study, the PSO algorith...

Optimization of design parameters based on electromagnetic simulation of microwave circuits is a timeconsuming and iterative procedure. To provide a fast and accurate frequency response for a given case study, this paper...

Abstract This paper describes a method using Quantum Particle Swarm Optimization to obtain a broadband frequency invariant pattern for synthesis of nonuniformly spaced linear array of isotropic antennas. Two cases relate...

Several scientific and engineering applications are usually described as integral equations.  A  new approach for solving the type of linear and nonlinear Fredholm integral equation of the second kind is proposed. Alth...

Abstract This paper describes a new design methodology for reconfigurable printed circuits with limited size, using an improved hybrid particle swarm optimization (HPSO) algorithm, reducing the search space by the defini...

Abstract The ground plane plays an important role on the performance of a planar inverted-F antenna (PIFA). In this regard, the ground plane modification using slots is proposed in this research to obtain a dual band ant...

Abstract Particle Swarm Optimization (PSO) algorithm has been applied in electromagnetics to design microwave absorbers. Generally, microwave absorbers are used for absorbing the electromagnetic radiation caused due to n...

Network congestion remains a critical challenge in dynamic communication environments, often degrading data delivery performance and Quality of Service (QoS). This study proposes a Hybrid Deep Reinforcement Learning with...