Gingivitis identification via multichannel gray‐level co‐occurrence matrix and particle swarm optimization neural network
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22385
Abstract: The oral maintenance of patients with periodontal disease mainly depends on clinical examination. However, insufficient number of medical workers cannot carry out detailed oral health education for a large number of patients within limited time… read more here.
Keywords: optimization neural; swarm optimization; particle swarm; occurrence matrix ... See more keywords
Neutrino‐like particle for particle swarm optimization
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22650
Abstract: The real‐world optimal problems frequently encountered by various industries are the nonlinear constrained optimization problems (NCOPs), where the constraints represent the limitations of practical resources. Many researchers have attempted to improve particle swarm optimization (PSO)… read more here.
Keywords: neutrino like; pso based; swarm optimization; particle swarm ... See more keywords
PSO (Particle Swarm Optimization) for Interpretation of Magnetic Anomalies Caused by Simple Geometrical Structures
Sign Up to like & getrecommendations! Published in 2018 at "Pure and Applied Geophysics"
DOI: 10.1007/s00024-018-1867-0
Abstract: A new efficient approach to estimate parameters that controlled the source dimensions from magnetic anomaly profile data in light of PSO algorithm (particle swarm optimization) has been presented. The PSO algorithm has been connected in… read more here.
Keywords: swarm optimization; pso particle; particle swarm;
Joint Parameter and State Estimation Based on Marginal Particle Filter and Particle Swarm Optimization
Sign Up to like & getrecommendations! Published in 2018 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-017-0721-4
Abstract: In this paper, a method for the dual estimation is proposed. This approach combines extended marginal particle filter (EMPF) with particle swarm optimization (PSO) for simultaneous estimation of state and parameter values in nonlinear stochastic… read more here.
Keywords: state; estimation; particle filter; particle swarm ... See more keywords
Design of Infinite Impulse Response Filter Using Fractional Derivative Constraints and Hybrid Particle Swarm Optimization
Sign Up to like & getrecommendations! Published in 2020 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-020-01456-0
Abstract: In this paper, a new method for designing digital infinite impulse response filter with nearly linear-phase response is presented using fractional derivative constraints (FDC). The design problem is constructed as a phase optimization problem between… read more here.
Keywords: response; response filter; swarm optimization; particle swarm ... See more keywords
Hybrid neural network modeling and particle swarm optimization for improved ethanol production from cashew apple juice
Sign Up to like & getrecommendations! Published in 2020 at "Bioprocess and Biosystems Engineering"
DOI: 10.1007/s00449-020-02445-y
Abstract: A hybrid neural model (HNM) and particle swarm optimization (PSO) was used to optimize ethanol production by a flocculating yeast, grown on cashew apple juice. HNM was obtained by combining artificial neural network (ANN), which… read more here.
Keywords: hybrid neural; cashew apple; swarm optimization; particle swarm ... See more keywords
Examination of benefits of personal fitness improvement dependent inertia for Particle Swarm Optimization
Sign Up to like & getrecommendations! Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-015-2016-7
Abstract: Since its invention, Particle Swarm Optimization (PSO) has received significant attention in the optimization community, which spawned numerous PSO modifications, variations and applications. However, most of the PSO improvements come with impaired simplicity and increased… read more here.
Keywords: pso; particle swarm; fitness; particle ... See more keywords
Opposition-based particle swarm optimization with adaptive mutation strategy
Sign Up to like & getrecommendations! Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-016-2102-5
Abstract: To solve the problem of premature convergence in traditional particle swarm optimization (PSO), an opposition-based particle swarm optimization with adaptive mutation strategy (AMOPSO) is proposed in this paper. In all the variants of PSO, the… read more here.
Keywords: opposition; opposition based; swarm optimization; particle swarm ... See more keywords
Convergence analysis of standard particle swarm optimization algorithm and its improvement
Sign Up to like & getrecommendations! Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-017-2615-6
Abstract: Standard particle swarm optimization (PSO) algorithm is a kind of stochastic optimization algorithm. Its convergence, based on probability theory, is analyzed in detail. We prove that the standard PSO algorithm is convergence with probability 1… read more here.
Keywords: algorithm; swarm optimization; particle swarm; ipso algorithm ... See more keywords
Empirical study of particle swarm optimization inspired by Lotka–Volterra model in Ecology
Sign Up to like & getrecommendations! Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-018-3215-9
Abstract: Particle swarm optimization (PSO) has been proved to be an effective technique in solving complex global optimization problems. Many modified versions of the original PSO algorithm emerged during the last 15 years. Many of those existing… read more here.
Keywords: swarm optimization; swarm; particle swarm; ecology ... See more keywords
A two-warehouse EOQ model with interval-valued inventory cost and advance payment for deteriorating item under particle swarm optimization
Sign Up to like & getrecommendations! Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-019-03890-y
Abstract: Generally, most of the inventory costs are not always fixed due to uncertainty of competitive market. In the existing literature, it is found that several researchers have worked on uncertainty considering inventory parameters as fuzzy… read more here.
Keywords: two warehouse; model; particle swarm; swarm optimization ... See more keywords