[PDF] Top 20 A modified particle swarm optimization algorithm for parameter estimation of a biological system

... PSO algorithm is known as a fast simple method, suitable for non-convex NP-hard problems such as bio- logical pathway ...the algorithm or hybridize it with some other ...PSO algorithm to im- prove ... See full document

... dynamic biological processes within ...hybrid optimization method is proposed to estimate these parameters from the noisy and incomplete experimental ...called Swarm-based Chemical Reaction ... See full document

... best parameter values for the biochemical models be estimated and obtained by refining the model parameter values (Schilling et ...These parameter values are usually identified and measured through ... See full document

... a modified particle swarm optimization (MPSO) algorithm is proposed to solve the reliability redundancy optimization ...This algorithm modifies the strategy of generating ... See full document

... Invocation of Immune Particle Swarm Algorithm on Micro-Grid Simulation System At present, when immune particle swarm optimization in the micro-grid system tunes the filter parameters, we[r] ... See full document

... sediment particle image is the main bottleneck restricting river sediment image segmentation algorithm to ...basic particle swarm optimization (PSO) algorithm, a modified ... See full document

... the particle, one at a ...the modified position updating procedure is then employed for solving five sets of QAPs, namely, Bur, Had, Kra, Nug, and Rou, available in QAP ... See full document

... IoT system with 15 target nodes and 5 anchor nodes is randomly deployed in a 20m!20m open area where the communication between nodes will not be disturbed by some other ... See full document

... pendulum system were obtained by using Lagrange formulation and linearized around the equilibrium point by Taylor series ...PSO algorithm to obtain the gain matrix K of the LQR ... See full document

... parameters estimation problem for SG. The hybrid algorithm is proposed to increase the convergence speed and identification accuracy, but, PSO has premature convergence problem ...population-based ... See full document

... a Modified Improved Particle Swarm Optimization (MIPSO) method algorithm in solving the optimization economic by combining inertial weight and constriction factor with the aim of ... See full document

... Firefly Algorithm have been ...with Modified Particle Swarm ...Firefly Algorithm is applied to make the speedy convergence and avoid premature convergence in optimizing the ...Firefly ... See full document

... energy. System congestion occurs when the desired power flow cannot be transmitted through the network without violating system operating ...severe system damage, a significant number of congestion ... See full document

... particular system from given input-output data and the process of deriving a mathematical system model from observed data in accordance with some predetermined ...this system identification, there ... See full document

... From the sub-graph (b) in Figure 3, it is also seen that the particle trajectory of the group (b) is more dispersed than group (a). Group (c) only has the inertia weight, without both cognitive and social sharing ... See full document

... hybrid optimization algorithm to decrease the energy consumption, in which modified particle swarm optimization and simulated annealing are combined to find the optimal clusters ... See full document

... numerical optimization, coefficients of the FO controller are optimized using evolutionary algorithms in this ...evolutionary optimization algorithms including particle swarm ... See full document

... of parameter identification based on PSO, is to translate it into an optimization problem in parameter ...PSO algorithm for parallel search in the entire parameter space efficiently, in ... See full document

... Genetic algorithm and called it ...support system based on fuzzy rules ...rule-based system based on neuro-fuzzy classifier optimized by conjugate gradient algorithm ...proposed system ... See full document

... In Multi-PV array structures during partial shaded condition multi-PV array structure to handle this situation. PSO works efficiently in multivariable problem with multiple maxima. Improved maximum power point tracking ... See full document