Swarm optimization
Optimizing the Performance Evaluation of Robotic Arms with the Aid of Particle Swarm Optimization
... particle swarm optimization and the genetic algorithm compared as a typical geometry design ...geometry optimization, results show that the particle swarm optimization is most ...
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Feature Selection using Complementary Particle Swarm Optimization for DNA Microarray Data
... particle swarm optimization, K-NN and LOOCV methods for feature selection ...particle swarm optimization is superior to Non-SVM, MC-SVM, and BPSO in terms of diversity, convergence and ...
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Bases gaussianas geradas com os métodos Monte Carlo Simulated Annealing e Particle Swarm Optimization.
... Os métodos Monte Carlo Simulated Annealing e Particle Swarm Optimization foram utilizados na geração de bases Gaussianas adaptadas para os átomos de H ao Ar, no estado fundamental.. Um e[r] ...
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DNA Sequence Optimization Based on Continuous Particle Swarm Optimization for Reliable DNA Computing and DNA Nanotechnology
... In this chapter, DNA sequences are designed based on Particle Swarm Optimization (PSO) [7] . Even though the DNA sequence design is a multi-objective problem, using weighted sum method, it is converted into ...
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Reactive Power Optimization with Chaotic Firefly Algorithm and Particle Swarm Optimization in A Distribution Subsystem Network
... particle swarm optimization. In paper [22], an improved particle swarm optimization algorithm based on multi- agent technology has been proposed to solve a reactive power optimization ...
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Multi Object Tracking Using Feature Selection Based Particle Swarm Optimization
... Vehicle detection and tracking play critical role in intelligent transportation system (ITS). This paper discuss the challenging of tracking arising from multiple object tracking, condition of scenes, occlusion, driving ...
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Algoritmo Multiswarm Spiral Leader Particle Swarm Optimization para a estimação dos parâmetros PV
... Particle Swarm Optimization (M-SLPSO), com base no PSO, para resolver o problema da estimação dos parâmetros dos sistemas ...cada swarm é guiado por um líder com uma trajetória em espiral ...
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Power Allocation in PON-OCDMA with Improved Chaos Particle Swarm Optimization
... the optimization of the transmitted power to minimize the interference between the users and maximize the energy efficiency, considering the quality of service (QoS) restrictions in terms of signal-to-noise-plus ...
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Design of Low Noise Microwave Amplifiers Using Particle Swarm Optimization
... particle swarm optimization (PSO) technique. Particle Swarm Optimization is used as a method that is applied to a single stage amplifier circuit to meet two criteria: desired gain and desired ...
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Design of Microwave Absorbers using Improvised Particle Swarm Optimization Algorithm
... Particle Swarm Optimization (PSO) is applied on the design of microwave absorbers for various combinations of materials for 5 layers for a range of frequency and angle of ...in swarm is considered as ...
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A Discrete Particle Swarm Optimization to Estimate Parameters in Vision Tasks
... numerical optimization, which apply mathematical or statistical techniques to minimize, or maximize, an objective function defined over a parameter ...Colony Optimization (ACO) [4] and Particle Swarm ...
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Qualidade de investimentos no uso de água pluvial: Particles Swarm Optimization para a maximização do valor presente líquido.
... A análise da qualidade dos investimentos deve fazer parte da tomada de decisão pela implantação dos sistemas de aproveitamento de água pluvial, de modo a avaliar se os investimentos na redução dos impactos ambientais são ...
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Fuzzy based Color Image Segmentation using Comprehensive Learning Particle Swarm Optimization (CLPSO) - A Design Approach
... Particle Swarm Optimization (PSO) algorithm is motivated by social behavior of organisms such as bird flocking and fish schooling [10], ...an optimization tool provides a population-based search ...
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Detecção automática de massas em imagens mamográficas usando particle swarm optimization (PSO) e índice de diversidade funcional
... O câncer de mama hoje é configurado no senário mundial como o mais comum entre as mulheres e o segundo que mais mata. Sabe-se que diagnosticado precocemente, a chance de cura é bem significativa, por outro lado, a ...
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THD Minimization from H-Bridge Cascaded Multilevel Inverter Using Particle Swarm Optimization Technique
... (Particle Swarm Optimization) based technique is proposed to derive optimized switching angles that minimizes the THD (Total Harmonic Distortion) and reduces the effect of selected low order non-triple ...
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Association Rule Mining for Both Frequent and Infrequent Items Using Particle Swarm Optimization Algorithm
... Particle swarm optimization algorithm is an evolutionary computational technique where swarm describes the behaviour of particles. It was first introduced by Kennedy and Eberhart in 1995 [19]. To get ...
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Evaluation of Sine-Based Chaotic Strategy for Adapting Inertia Weight of Particle Swarm Optimization
... ARTICLE swarm optimization (PSO) was proposed by Eberhart and Kennedy in 1995 [1]. Many variants of the PSO had been proposed and applied to real-world applications, for examples, learning to play games ...
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EXTRUSION DIE PROFILE DESIGN USING SIMULATED ANNEALING ALGORITHM AND PARTICLE SWARM OPTIMIZATION
... Nontraditional optimization techniques like simulated annealing algorithm [6] and Particle Swarm optimization [7] are used for minimizing the Die force by optimizing die cone angle and extrusion ...
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Particle swarm optimization and differential evolution for base station placement with multiobjective requirements
... Particle Swarm Optimization (PSO) and Differential Evolution (DE) as heuristic ...for optimization: as described in that chapter, these two metrics aim to improve performance of new placed nodes only ...
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Neuro-fuzzy control and particle swarm optimization on horizontal axis wind turbine
... particle swarm optimization process optimized a profile of a wind turbine based on two stretching equations that had as objective the best coefficient of power for the average ...
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