Cat Swarm Optimization
Power loss minimization using cat swarm optimization
... the optimization variables. The proposed approach employs cat swarm optimization (CSO) algorithm for optimal settings of RPD control ...
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Design of Digital IIR Filters using Integrated Cat Swarm Optimization and Differential Evolution
... complex optimization problems, population based algorithms like evolutionary algorithms (EAs), Particle swarm optimization (PSO), PPO and DE are being ...use optimization algorithm, which has ...
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Opposition aided Cat Swarm Optimization Algorithm for Optimal Digital IIR High Pass Filter Design
... the cat swarm optimization (CSO) technique with oppositional ...global optimization technique which has global as well as local search ...multicriterion optimization is used as the ...
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A Parameter Estimation of Fractional Order Grey Model Based on Adaptive Dynamic Cat Swarm Optimization
... model, the estimation of parameter act as an important role in improving the simulating performance of the model. There have been various studies concerning parameter estimation by LSM assuming the data are characterized ...
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Optimizing channel cross section in irrigation area using improved cat swarm optimization algorithm
... the Swarm Intelligence (SI) algorithms [7] such as Artificial Bee Colony Algorithm, Genetic Algorithm have been used to optimize problems across channel cross section over the last decades [8] ...nonlinear ...
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Cat Swarm Optimization to Shunt Capacitor Allocation in Algerian Radial Distribution Power System
... a Cat Swarm Optimization (CSO) Algorithm optimization method to shunt capacitor placement on distribution systems under capacitor switching ...bank. Cat Swarm search algorithm is ...
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Energetic Designing of Fault Analysis Model Using Cat Swarm Optimization with DPFC Implementations
... Colony Optimization [ACO], Particle Swarm Optimization [PSO], Simulated Annealing [SA] and so ...of swarm insight. Feline Swarm Optimization in short CSO, the calculation, is ...
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meta-heuristics (Cat Swarm Optimization CSO, bat algorithm BA and particle swarm optimization PSO) in the portfolio optimization problem. Zhu [9] has presented a meta-heuristic approach to portfolio optimization problem using Particle Swarm Optimization (PSO) technique,
... (Cat Swarm Optimization CSO, bat algorithm BA and particle swarm optimization PSO) in the portfolio optimization ...portfolio optimization problem using Particle ...
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Transformer Fault Diagnosis Based on Support Vector Machine and Cat Swarm Optimization
... Cat swarm Optimization (CSO) is a newly risen optimization algorithm based on computational intelligence, which is observing the common behaviour of the ...
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Modified Cat Swarm Optimization Algorithm for Design and Optimization of IIR BS Filter
... The remainder of this paper is organized as follows. Section 2 describes the digital IIR filter designing problem. The details of the mechanism for designing the digital IIR filter using cat swarm ...
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Iris recognition optimized by ICA using Parallel Cat Swarm optimization
... an optimization technique used in Iris recognition ...Parallel Cat Swarm Optimization Algorithm is one of the latest optimization algorithms in the nature league based ...CSO ...
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The design and application of cat swarm optimized fuzzy controller
... on cat swarm optimization (CSO_FC) is ...Then, cat swarm optimization is used to optimize relative parameters of the controller, such as weighting factor and quantification ...
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A Modified Particle Swarm Optimization Algorithm
... In this paper, along with the idea that a particle chooses its inertial factor according to the approaching degree between the fitness of itself and the optimal particle, a modified particle swarm ...
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Genetic learning particle swarm optimization
... particle swarm optimiza- tion (PSO) helps collective efficiency, whereas individual repro- duction in genetic algorithm (GA) facilitates global ...another optimization technique for ...
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Application of a particle swarm optimization for shape optimization in hydraulic machinery
... For this study, the ending criterion of the algorithm was set to the maximal number of iterations (max_iteration). Initial velocities (velocity initialization – Figure 5) were set as zeros [12]. Every particle of the ...
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Review of Particle Swarm Optimization Techniques
... Particle Swarm Optimization with Time Varying Acceleration Coefficients (PSOTVAC)[6] in 2004 to control the local search and convergence to the global optimum ...
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A Hardware Architecture of Particle Swarm Optimization
... The original PSO algorithm which presented by Eberhard and Kennedy [1] is a powerful algorithm to figure out optimal solution. PSO algorithm imitates the behavior of animal herd to approach to the optimal solution. The ...
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Gravitational Swarm Optimizer for Global Optimization
... The idea for implementing hybridization is to jointly influence the particles of the swarm by GSA as well as by SHPSO. The implementation of hybridization requires the movement of the particles to be controlled by ...
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Route Optimization in logistics distribution based on Particle Swarm Optimization
... Particle Swarm Optimization (SLPSO) algorithm in the multi-objective framework to solve the ...Particle Swarm Optimization (BLS-PSO) with a novel decoding approach was developed by (Sun, 2018) ...
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Evaluation of the Performance of Ant Colony Optimization over Particle Swarm Optimization
... An optimization algorithm is a procedure which is executed iteratively by comparing various solutions till the optimum or a satisfactory solution is ...based Swarm inspired methods in computational ...
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