[PDF] Top 20 Using Particle Swarm Optimization to Establish a Local Geometric Geoid Model
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Using Particle Swarm Optimization to Establish a Local Geometric Geoid Model
... method to test the local geoid undulation model of the test ...iteration to conduct the ...used to calculate coefficients to fit the local geoid and compute ... See full document
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Applying Particle Swarm Optimization to Parameter Estimation of the Nonlinear Muskingum Model
... used a least-squares method 共LSM兲 to find the values of the three parameters in the nonlinear Muskingum ...estimation using the Hook-Jeeves 共HJ兲 pattern search in conjunction with linear regression ... See full document
4
Gene selection and classification using Taguchi chaotic binary particle swarm optimization
... need to be used. This does not affect the predictive error rate in a negative ...way. A general overall feature selection approach can be found in Saeys et ...methods using a wrapper ... See full document
5
Analysis of particle interaction in particle swarm optimization
... step to the next time step consists of updating positions of particles, calculating the distribution center by means of the updated positions, and using the maximum likelihood estimation to calculate ... See full document
15
Using investment satisfaction capability index based particle swarm optimization to construct a stock portfolio
... with a new strategy of using the ISCI to optimize their choices of ...PSO to make investment decisions regarding the allocation of capital investment for each specific stock in the ...show ... See full document
5
SNP barcodes generated using particle swarm optimization to detect susceptibility to breast cancer
... difficult to conduct and often omit SNP interactions, thus limiting their reli- ability and potential ...apply a particle swarm optimization (PSO) algorithm to detect and ... See full document
4
Game team balancing by using particle swarm optimization
... by using multi-threading technol- ...Usually a random number generator keeps its own state. To achieve thread safe for computing random numbers, we assign each game space a random number ... See full document
6
Operon Prediction Using Chaos Embedded Particle Swarm Optimization
... Terms—Operon, particle swarm optimization, chaos Ç 1 I NTRODUCTION V ALUABLE information for drug design and protein functions can be acquired from the operons of bacterial genomes ...into a ... See full document
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Particle Swarm Optimization
... is to introduce that the fundamentals and the applications of the deterministic methodology , intelligence systems (Heuristic ...global optimization and the related areas fields in order to know the ... See full document
3
Applying Particle Swarm Optimization to Schedule Order Picking Routes in a Distribution Center
... of a distribution center is typically judged on throughput-based ...30% to 40% of operation time in a typical distribution center. To effectively execute an order picking operation in a ... See full document
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Improved binary particle swarm optimization using catfish effect for feature selection
... r a c t The feature selection process constitutes a commonly encountered problem of global combinatorial opti- ...is a preprocessing technique with great importance in the fields of data analysis and ... See full document
4
A Parallel Particle Swarm Optimization Algorithm with Communication Strategies
... Australia Particle swarm optimization (PSO) is an alternative population-based evolutionary computation ...shown to be capable of optimizing hard mathematical problems in continuous or binary ... See full document
5
A hybrid particle swarm optimization for job shop scheduling problem
... implemented to other sequential ordering problems, there are two aspects for discussion: (1) Modify particle position representation for better suitability to the ...in a continuous solution ... See full document
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A particle swarm optimization for multi-objective flowshop scheduling
... PSO to address the multiple objectives found in the flowshop scheduling ...presented a PSO method for solving a flowshop scheduling problem with multiple objectives, including minimization of make- ... See full document
10
An Improvement of Particle Swarm Optimization using Multi-velocity Particle PSO and Uniform Design Experiment
... 群體智慧指許多簡單個體通過相互合 作產生複雜智慧行為的特性。該智能模式 需要以相當數目的智能體來實現對某種問 題的求解功能，在沒有得到智能群體的總 信息反饋時，它在解空間中的行進方式是 完全是沒有規律的，只有受整個智能群體 在解空間行進結果的影響之後才能表現出 具有合理尋優特徵的行進模式，目前群智 能理論研究領域有兩種主要的算法，即本 文 的 粒 子 群 算 法 以 及 群 蟻 演 算 法 ( Ant Colony ... See full document
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Chaotic particle swarm optimization for data clustering
... Particle swarm optimization a b s t r a c t Data clustering is a popular analysis tool for data statistics in several fields, including includes pattern recognition, data mining, ... See full document
4
Binary particle swarm optimization for operon prediction
... binary particle swarm optimization (BPSO) for operon ...prediction. To validate the feasibility of the method, we calculated the logarithmic likelihood of each property in the ...as a ... See full document
4
A Novel Modified Particle Swarm Optimization for Forecasting Financial Time Series
... order to forecast dynamic time series, a model which can consider the dynamic environment and conquer the out-of-sample problem is ...necessary. Particle swarm optimization (PSO) ... See full document
5
Hybrid Differential Evolution and Particle Swarm Optimization Approach to Surface-Potential-Based Model Parameter Extraction for Nanoscale MOSFETs
... Taiwan A set of semiconductor device model and parameters bridges the communities between circuit design and chip ...obtaining a set of optimal model parameters of the surface-potential-based ... See full document
11
An improved vector particle swarm optimization for constrained optimization problems
... proposed particle swarm optimization (PSO) as a global evolutionary algorithm in 1995 ...each particle has its own unique memory to ‘‘remember’’ its own best ...each ... See full document
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