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[PDF] Top 20 Binary particle swarm optimization for operon prediction

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Binary particle swarm optimization for operon prediction

Binary particle swarm optimization for operon prediction

... effective binary particle swarm optimization (BPSO) for operon ...basis for the intergenic distance ...a particle. The particle was subse- quently updated by ... See full document

4

Operon Prediction Using Chaos Embedded Particle Swarm Optimization

Operon Prediction Using Chaos Embedded Particle Swarm Optimization

... methods for operon detection are generally difficult to implement and time ...chaotic binary particle swarm optimization (CBPSO) to predict operons in bacterial ...evaluated ... See full document

5

Chaotic maps based on binary particle swarm optimization for feature selection

Chaotic maps based on binary particle swarm optimization for feature selection

... 0707. For the identification of relevant features and the removal of irrelevant features two different methods can be employed, namely the filter and wrapper ...algorithm for the feature selection ...[4], ... See full document

5

Improved binary particle swarm optimization using catfish effect for feature selection

Improved binary particle swarm optimization using catfish effect for feature selection

... novel optimization algorithm called catfish binary particle swarm optimization (CatfishBPSO), in which the so-called catfish effect is applied to improve the performance of binary ... See full document

4

Gene selection and classification using Taguchi chaotic binary particle swarm optimization

Gene selection and classification using Taguchi chaotic binary particle swarm optimization

... & Priisalu, 2009). Given a fixed dimension, a semi-definite positive norm, and n points in this space, the KNN of every point can be found in O(kn log n) time (Vaidya, 1989). The KNN method is easy to implement by ... See full document

5

Particle Swarm Optimization with Reinforcement Learning for the Prediction of CpG Islands in the Human Genome

Particle Swarm Optimization with Reinforcement Learning for the Prediction of CpG Islands in the Human Genome

... Experimental results We propose an effective hybrid method of CPSO and RL called CPSORL to identify CpG islands in the human genome. In CPSORL, CPSO supplies the updating function to find potential regions of CpG ... See full document

5

A Hybrid of Cooperative Particle Swarm Optimization and Cultural Algorithm for Neural Fuzzy Networks and Its Prediction Applications

A Hybrid of Cooperative Particle Swarm Optimization and Cultural Algorithm for Neural Fuzzy Networks and Its Prediction Applications

... The proposed CCPSO is a hybrid method that combines co- operative particle swarm optimization and cultural algorithms. The CCPSO method with cooperative behavior among multiple swarms increases the ... See full document

14

An improved particle swarm optimization with double-bottom chaotic maps for numerical optimization

An improved particle swarm optimization with double-bottom chaotic maps for numerical optimization

... outcomes for chaotic systems, render- ing long-term prediction impossible in ...with particle swarm optimization was applied to the test ...in optimization techniques rather than ... See full document

10

A Novel Modified Particle Swarm Optimization for Forecasting Financial Time Series

A Novel Modified Particle Swarm Optimization for Forecasting Financial Time Series

... Accuracy (5) In the last stage, the new position of percentage set will follow the equation (1). Each particle will take the new velocity to update its position in the search space. When moving the particles, the ... See full document

5

Discrete Particle Swarm Optimization with Scout Particles for Library Materials Acquisition

Discrete Particle Swarm Optimization with Scout Particles for Library Materials Acquisition

... discrete particle swarm optimization (DPSO) with scout particles, where each particle, represented as a binary matrix, corresponds to a candidate solution to the ...approach for ... See full document

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A MODIFIED PARTICLE SWARM OPTIMIZATION WITH FEASIBILITY-BASED RULES FOR MIXED-VARIABLE OPTIMIZATION PROBLEMS

A MODIFIED PARTICLE SWARM OPTIMIZATION WITH FEASIBILITY-BASED RULES FOR MIXED-VARIABLE OPTIMIZATION PROBLEMS

... Modified particle swarm optimization, Mixed-variable optimization prob- lems, The constraint-handling mechanism, Feasibility rules, Reversed average velocity ...in optimization problems ... See full document

8

A Parallel Particle Swarm Optimization Algorithm with Communication Strategies

A Parallel Particle Swarm Optimization Algorithm with Communication Strategies

... Australia Particle swarm optimization (PSO) is an alternative population-based evolutionary computation ...or binary space. We present here a parallel version of the particle ... See full document

5

Novel generating protective single nucleotide polymorphism barcode for breast cancer using particle swarm optimization

Novel generating protective single nucleotide polymorphism barcode for breast cancer using particle swarm optimization

... features for breast cancer in women in the SNP barcode are evaluated in a quantitative ...used binary allele types, thereby improving the resolution for analyzing the multiple SNP–SNP ...risk. ... See full document

4

Efficient immune-based particle swarm optimization learning for neuro-fuzzy networks design

Efficient immune-based particle swarm optimization learning for neuro-fuzzy networks design

... immune-based particle swarm optimization (IPSO) for use in TSK-type neuro-fuzzy networks for solv- ing the identification and prediction ...and particle swarm ... See full document

16

PARTICLE SWARM OPTIMIZATION BASED ON BACK PROPAGATION NETWORK FORECASTING EXCHANGE RATES

PARTICLE SWARM OPTIMIZATION BASED ON BACK PROPAGATION NETWORK FORECASTING EXCHANGE RATES

... Keywords: Particle swarm optimization, Back propagation network, Exchange rate forecasting ...possible for every country that its exchange rate often drastically ...about prediction of ... See full document

5

Using Particle Swarm Optimization to Establish a Local Geometric Geoid Model

Using Particle Swarm Optimization to Establish a Local Geometric Geoid Model

... H for each ...study, particle swarm optimization (PSO) was employed to compute the coefficients of a quadratic surface- fitting model to effectively improve the prediction accuracy of ... See full document

11

Particle Swarm Optimization

Particle Swarm Optimization

... global optimization and the related areas fields in order to know the methods of conducting mathematical model for solving the managing and engineering problems in the real ... See full document

3

Chaotic particle swarm optimization for data clustering

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, machine ... See full document

4

An improved vector particle swarm optimization for constrained optimization problems

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 particle has its ... See full document

5

Chaotic catfish particle swarm optimization for solving global numerical optimization problems

Chaotic catfish particle swarm optimization for solving global numerical optimization problems

... This results in further opportunities of finding better solutions for the swarm by guiding the entire swarm to promising new regions of the search space and accelerating the search. The introduced ... See full document

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