Pages that link to "Item:Q1007551"

The following pages link to The particle swarm optimization algorithm: Convergence analysis and parameter selection (Q1007551):

Displaying 50 items.

• Identification and control of nonlinear systems by a dissimilation particle swarm optimization-based Elman neural network (Q1003205) (← links)
• Novel approaches to probabilistic neural networks through bagging and evolutionary estimating of prior probabilities (Q1009347) (← links)
• GEM: A novel evolutionary optimization method with improved neighborhood search (Q1021529) (← links)
• Michigan particle swarm optimization for prototype reduction in classification problems (Q1031940) (← links)
• Evolutionary optimization of transition probability matrices for credit decision-making (Q1042511) (← links)
• Reprint of: On convergence analysis of particle swarm optimization algorithm (Q1636822) (← links)
• Gravitational search algorithm combined with chaos for unconstrained numerical optimization (Q1644504) (← links)
• Structural shape optimization by IGABEM and particle swarm optimization algorithm (Q1656384) (← links)
• ALE-PSO: an adaptive swarm algorithm to solve design problems of laminates (Q1662476) (← links)
• Singularly perturbation method applied to multivariable PID controller design (Q1666659) (← links)
• Stability analysis of particle dynamics in gravitational search optimization algorithm (Q1671295) (← links)
• Posterior exploration based sequential Monte Carlo for global optimization (Q1685582) (← links)
• A novel APSO-aided weighted LSSVM method for nonlinear Hammerstein system identification (Q1691186) (← links)
• Research on gateway deployment of WMN based on maximum coupling subgraph and PSO algorithm (Q1701611) (← links)
• Robust term structure estimation in developed and emerging markets (Q1703534) (← links)
• An investigation into the performance of particle swarm optimization with various chaotic maps (Q1717827) (← links)
• Stability analysis of the bat algorithm described as a stochastic discrete-time state-space system (Q1723153) (← links)
• An intelligence optimized rolling grey forecasting model fitting to small economic dataset (Q1724641) (← links)
• Novel fractional order particle swarm optimization (Q1733401) (← links)
• A shape optimization procedure for cylinders aeolian tone (Q1735016) (← links)
• Han's model parameters for microalgae grown under intermittent illumination: determined using particle swarm optimization (Q1752357) (← links)
• Solving the stochastic dynamic lot-sizing problem through nature-inspired heuristics (Q1762143) (← links)
• Computing Nash equilibria through computational intelligence methods (Q1765429) (← links)
• A hybrid method of chaotic particle swarm optimization and linear interior for reactive power optimisation (Q1775925) (← links)
• A framework for constrained optimization problems based on a modified particle swarm optimization (Q1793699) (← links)
• Convergence analysis of standard particle swarm optimization algorithm and its improvement (Q1800242) (← links)
• A multi-start opposition-based particle swarm optimization algorithm with adaptive velocity for bound constrained global optimization (Q1937953) (← links)
• A local and global search combine particle swarm optimization algorithm for job-shop scheduling to minimize makespan (Q1958785) (← links)
• Convergence proof of an enhanced particle swarm optimisation method integrated with evolutionary game theory (Q1991889) (← links)
• A study on the convergence of family particle swarm optimization (Q1992954) (← links)
• Movement patterns of a particle swarm in high dimensional spaces (Q1999195) (← links)
• Solving 0-1 knapsack problems based on amoeboid organism algorithm (Q2016352) (← links)
• K-means particle swarm optimization with embedded chaotic search for solving multidimensional problems (Q2018995) (← links)
• A review on computational intelligence for identification of nonlinear dynamical systems (Q2023111) (← links)
• A novel composite forecasting framework by adaptive data preprocessing and optimized nonlinear grey Bernoulli model for new energy vehicles sales (Q2025590) (← links)
• Stability bounds and almost sure convergence of improved particle swarm optimization methods (Q2028697) (← links)
• Particle swarm optimization algorithm with multiple phases for solving continuous optimization problems (Q2045340) (← links)
• Probabilistic convergence analysis of the stochastic particle swarm optimization model without the stagnation assumption (Q2056351) (← links)
• A direct method for the simultaneous characterization of thermal diffusivities of a bi-layer material consisting of a thin coating deposited on a substrate (Q2056596) (← links)
• A new dynamic model to optimize the reliability of the series-parallel systems under warm standby components (Q2083380) (← links)
• Stochastic stability analysis of particle swarm optimization with pseudo random number assignment strategy (Q2098028) (← links)
• Convergence analysis of particle swarm optimization in one dimension (Q2106119) (← links)
• Effect of parameter selection on different topological structures for particle swarm optimization algorithm (Q2178983) (← links)
• A general decoupling approach for time- and space-variant system reliability-based design optimization (Q2179224) (← links)
• A nonlinear robust model predictive differential game guidance algorithm based on the particle swarm optimization (Q2205496) (← links)
• Optimizing the multimode Brownian oscillator model for the optical response of carotenoids in solution by fine tuning of differential evolution (Q2206968) (← links)
• EO-MTRNN: evolutionary optimization of hyperparameters for a neuro-inspired computational model of spatiotemporal learning (Q2210956) (← links)
• Saddle-node bifurcation parameter detection strategy with nested-layer particle swarm optimization (Q2212433) (← links)
• Black hole particle swarm optimization for well placement optimization (Q2221183) (← links)
• A parameter-free particle swarm optimization algorithm using performance classifiers (Q2224929) (← links)