fuzzy adaptive particle swarm optimization
An Efficient Hybrid Comparative Study Based on ACO, PSO, K Means With K Medoids for Cluster Analysis
... (fuzzy adaptive particle swarm optimization), ACO (ant colony optimization) and k-means algorithms, called FAPSO-ACO– K, which can find better cluster ...
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—PCR-CTPP, FAPSO, PSO, SNP
... (fuzzy adaptive particle swarm optimization)-based method to design feasible PCR-CTPP primer ...(particle swarm optimization)-based ...
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A Novel Particle Swarm Optimization for Optimal Scheduling of Hydrothermal System
... A fuzzy adaptive particle swarm optimization (FAPSO) is presented to determine the optimal operation of hydrothermal power ...standard particle swarm optimization ...
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Vol 10, No 2 (2018)
... of Fuzzy Inference System (FIS), which requires the human expert knowledge to choose the number of the membership functions for each fuzzy set, the position, and the shape of each ...The fuzzy rules ...
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Wavelet Based short term load forecasting using optimized ANFIS
... optimized Adaptive Neuro-Fuzzy inference System ...of Particle Swarm Optimization (PSO) to optimize ANFIS, with aim of improving its speed and ...
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An Adaptive Fuzzy Logic Controller Trained by Particle Swarm Optimization for Line of Sight Stabilization
... Where N is the number of discrete time Samples. It is expected to minimize this cost function value, while the PSO algorithm iteration goes forward. All parameters of the FC are updated at every final time. Functions for ...
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Particle Swarm Optimization with Fuzzy Adaptive Acceleration for Human Object Detection
... PSO has been successfully applied to detect human object in arbitrary images [11], this method has been proven to shorten the detection process two times faster than the conventional method. The basic idea of PSO for ...
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Developing an ANFIS-PSO Based Model to Estimate Mercury Emission in Combustion Flue Gases
... mercury content in the output gas of power stations’ boilers was predicted using adaptive neuro- 17.. fuzzy inference system (ANFIS) method integrated with particle swarm optimization (P[r] ...
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Developing ANFIS-PSO Model to Predict Mercury Emissions in Combustion Flue Gases
... Abstract: Accurate prediction of mercury content emitted from fossil-fueled power stations is of utmost importance for environmental pollution assessment and hazard mitigation. In this paper, mercury content in the ...
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Radial Basis Function Neural Network Trained by Adaptive Chaotic Particle Swarm Optimization to Control Nonlinear Systems
... The neuro-fuzzy controller considered in this comparative study was proposed in (Pham and Xing, 1997). The structure of this controller consists of six layers whose tasks are to perform the fuzzy inference ...
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Identification and Prediction Using Neuro-Fuzzy Networks with Symbiotic Adaptive Particle Swarm Optimization
... one fuzzy set for the output variable ...output fuzzy set. The more common fuzzy inference method proposed by Mamdani, Takagi, Sugeno, and Kang introduced a modified inference scheme ...the ...
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A Survey on Economic Load Dispatch Problem Using Particle Swarm Optimization Technique
... a fuzzy clustering-based particle swarm (FCPSO) algorithm has been proposed to solve the highly constrained EED problem involving conflicting ...proposed fuzzy clustering technique, manages ...
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A Particle Swarm Optimization with Adaptive Multi-Swarm Strategy for Capacitated Vehicle Routing Problem
... Particle swarm optimization (PSO) is a powerful algo- rithm for finding an optimal solution in nonlinear search ...binatorial optimization problems such as capacitated vehicle routing problem ...
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Deep Learning Methods and Optimization Algorithms in Bioinformatics Field: A Review
... of optimization algorithms can be used to assist deep learning in order to achieve better finding ...Several optimization algorithms such as particle swarm optimization, enhanced binary ...
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Survey of Metaheuristic Algorithms for Combinatorial Optimization
... a discrete PSO called Jumping Particle Swarm Optimization (JPSO) is introduced. JPSO is compared with another algorithm and found that JPSO outperformed all other algorithm achieving high quality ...
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Towards Crafting an Improved Functional Link Artificial Neural Network Based on Differential Evolution and Feature Selection
... as adaptive Particle Swarm Optimization-Back-propagation (PSO-BP) learning [13], improved swarm optimized FLANN (ISO-FLANN) Dehuri, et ...
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Method of Generating Contexts based on Self-adaptive Differential Particle Swarm Using Local Topology for Multimodal Optimization in the Case of Multigranulation. A Case Study
... In last decades Evolutionary and Swarm Intelligence algorithms have become an important improvement for both discrete and real-parameter optimization. Without niching [34] strategies they converge to a ...
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Fuzzy Supervised Clustering Algorithm with the Particle Swarm Optimization
... Particle Swarm Optimization (PSO) is a quite convenient method for optimizing hard numerical function on metaphor of social behavior of flocks of birds and schools of ...A swarm consist M ...
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PID Neural Network Motor Synchronization Control Based on the Improved PSO Algorithm
... standard particle swarm optimization algorithm, and blends the mutation of genetic algorithm into the particle swarm, that is to initialize some variables again at a certain ...
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Role of the Computational Intelligence in Drugs Discovery and Design: Introduction, Techniques and Software
... The increasingly use of computational tools has brought the new revolution in drug discovery and design process. Computational approaches are designing the new drug faster and more economical as compare to traditional ...
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