genetic algorithms

Solving the inverse problem of parameter estimation by genetic algorithms: the case of a ground-water contamination transport model.

Genetic algorithms (GAs )have been widely reckoned as a useful vehicle for combinatorial optimization problems including scheduling problem.

and the parallel genetic algorithms should be considered first for reduction of the time consumed and the improvement of search efficiency.

The merits and limitations of genetic algorithms used in optimizing the connection weights of the neural network are discussed.

A fast image correlation matching algorithm is put forward for low contrast TV image sequence of a ships target using genetic algorithms.

The genetic algorithms method is used to complete the parametric optimization of a isolation model with single degree of freedom.

The model combines the advantage of genetic algorithms and neural network. It is of better performance, faster speed and high accurate.

An efficient means of carrying out this optimization procedure is to make a use of genetic algorithms.

Of course, inexpensive microprocessors and then a very important breakthrough -- genetic algorithms.

The matching function was built by the Least Squares method, and it was solved by the genetic algorithms.

The good optimization can be obtained through the integrated mode of neural networks and genetic algorithms.

In the traditional genetic algorithms, selection of the crossover and mutation samples directly affects the convergence.

The fitness sharing genetic algorithms are the common approaches to solve multi-modal optimization problems.

We tried to come up with a way to use genetic algorithms to create a new type of concentrator.

Genetic algorithms (GA) are an evolutionary optimisation approach which are an alternative to traditional optimisation methods.

Drawing on the experience of predecessors, this paper adopts an improved genetic algorithms and concentrate on optimizing pipe diameters.

This topic will combine interactive genetic algorithms and preference model for intelligent clothing recommended.

An approach to addressing the stereo correspondence problem is presented using genetic algorithms (GAs) to obtain a dense disparity map.

Simulation results show that the algorithm can find better satisfactory solution than genetic algorithms does.

As a whole, the result of wave impedances inversion based on genetic algorithms is more satisfactory.

An improved genetic algorithms (GA) for pattern synthesis of cylindrical conformal microstrip antenna array was presented.

In this paper, a new adaptive power law scaling method is suggested to improve the search ability of the fitness sharing genetic algorithms.

The algorithm for solving the problems of stochastic static system is produced by stochastic simulation based genetic algorithms.

Artificial Neural Networks and Genetic Algorithms are cutting-edge of complex non-linear science and artificial intelligence.

We integrate the genetic algorithms with BP neural network and design a genetic based backpropagation neural network classifier.

In the example, operational resources of system for destroying time-sensitive target were optimized by genetic algorithms method.

During the model calibration process, novel genetic algorithms are introduced.

Genetic algorithms, which are rapid and efficient in global finding optima , are used to match the images.

Then, genetic algorithm and taboo search algorithm are analyzed and combined to become hybrid genetic algorithms, namely GATS.

An improved immunity genetic algorithms (GA) based adaptive control method for urban traffic network signal is proposed.

In a sense, mechanism design is to markets what genetic algorithms are to life.

This paper proposes a novel method to search for an optimal POS tag set using genetic algorithms (GA).

This paper presents some approaches to the application of Genetic Algorithms to the Traveling Salesman Problem.

Makes use of C language to carry out genetic algorithms solving FMS machine selection problem. And compare with the previous example.

Because of the complexity of evaluation surface, Genetic Algorithms (GA) being applied to parameter inversion is feasible and effective.

The algorithm is demonstrated via comparison with variational method and genetic algorithms (GAs).

This article study on the application of genetic algorithms to optimize design facilities layout planning.

Compared with SGA, the new algorithm improves the convergence of genetic algorithms and gets best solution in high speed.

This project studies the rapid growing evolutionary algorithms. A variable-length string matrix genetic algorithms (VMGA) was proposed.

The solving steps of genetic algorithms, constructing mode of genetic code and computing method of layout step are described.

I talk to electrical engineers who use genetic algorithms to design circuits, and the circuits end up being completely alien to humans.

Then, pattern synthesis for sparse array antenna using genetic algorithms is researched.

The base genetic algorithm class contains operators and data common to most flavors of genetic algorithms.

On the basis of genetic algorithms for protein folding, a software system of protein folding simulation with lattice model is designed.

Variations of viruses are also similar to mutations, another factor in genetic algorithms.

Work by Jiang et al details the use of genetic algorithms for the optimal design of complex multilayer absorber structures.

Genetic algorithms may let us create things too complex to design in the ordinary sense.

Networks 2: Molecular Computing, Self-assembly, Genetic Algorithms, Neural Networks.

In the process of cooperation innovation, a fuzzy c-mean method base on genetic algorithms with the interval number is proposed.

On the basis of Simple Genetic Algorithms (SGA), a series of improvements have been put forward.

In the article, the application of genetic algorithms in low side lobe pattern synthesis is given.

Introduces the application of genetic algorithms in the eight puzzle problem.

The paper proposes an automatic optimization algorithm for neural networks based on active evolution and genetic algorithms.

A novel multi-objective optimization method for parameter tuning of PID regulator based on adaptive genetic algorithms is proposed.

In this paper, a fast soft decision decoding using genetic algorithms(GSD)is presented.

The approach based on artificial neural networks and genetic algorithms is effective only if the search space is relatively small.

For the first time, we demonstrate that crossover-point count is closely related to the performance of Multi-objective Genetic Algorithms.

Simulated annealing was combined to prevent genetic algorithms from local optimum.

At last, the pencil beam was optimized by method of genetic algorithms, and the results were compared.

The main drawback of Perl for genetic algorithms is speed.

Because of the unique working principle, genetic algorithms can optimize and search on the overall and complexity space.

In this article, I cover more advanced material on genetic algorithms in Perl.

The previous approaches of generating structural test data are mostly based on variant Genetic Algorithms(GA).

Section for the link to the Genetic Algorithms FAQ.

In recent years, genetic algorithms are improved very frequently to avoid its flaws such as the local minimum trap.

In order to reduce the complexity in the system, the search of rotation factors is accomplished using the genetic algorithms.

A vehicle route planning method based on genetic algorithms for low attitude penetration is proposed.

Be sure to examine MyBeasties (see the Resources section) if you are interested in using genetic algorithms in your own applications.

A new method which solved the test point "s problem of multi-objective was introduced based on the interaction genetic algorithms. "

Genetic Algorithms are effective algorithms for solving all kinds of optimization problems and nonlinearity mapping.

How to get a good feeding for conformal array antenna by genetic algorithms is presented in the end.

In May of 2005, a virus called Zellome was found to use genetic algorithms to decrypt data on a target computer.

You can mix and match genome types with genetic algorithms.

A novel data processing method of interference stripes based on genetic algorithms is described.

To some extent, virus infections already exhibit processes similar to genetic algorithms.

Secondly, crossover is the key operator in the genetic algorithms, and it is impetus for evolution.

This method is used by the genetic algorithms to choose which individuals should mate.

Mitchell, M. "An Introduction to Genetic Algorithms. " MIT Press, 1996.

Fine Reservoir Redescription with ANN Technique Based on Genetic Algorithms.

For example, random-based and genetic algorithms are with a certain blindness in choosing the test data.

So we can be considered the use of genetic algorithms to solve the problem of spatial clustering.

The library contains four flavors of genetic algorithms.

Read Chapter 5 and see how Java is used in areas like genetic algorithms.

Genetic algorithms used for optimization design of diffractive optical elements

Effects of the Initial Population, Crossover and Mutation Rate to the Results of Genetic Algorithms and a Possible Solution Scheme

Application of a modified genetic algorithms in optimal design of supporting structure in deep excavations

Calculation of chemical and metallurgical phase equilibria using genetic algorithms reinforced by generalized reduced gradient algorithms

Multi-objective Optimization of a Semi-active Automobile Suspension by Genetic Algorithms

Item Bank; Auto-generating Test Paper; Mathematics Model; Genetic Algorithms; Niche; Adaptive Genetic Algorithm; Genetic-Mutation Algorithm;

Application of two genetic algorithms based method in pavement performance synthetic evaluation

Item Bank; Auto-generating Test Paper; Mathematics Model; Genetic Algorithms; Niche; Adaptive Genetic Algorithm; Genetic-Mutation Algorithm;

Application of two genetic algorithms based method in pavement performance synthetic evaluation

Application of Improved Genetic Algorithms to the Electronically Controlled Pressure-accumulation Fuel Injection System

Genetic Algorithms with Dual-Structure Codes and its Application in the Decision of Loans Combinatorial Optimization

Study on Characteristics of Genetic Algorithms and Its Application to Optimize Reloading Pattern Problem

A Study of Applying NEC and Non-Blocking Master-Slave Parallel Genetic Algorithms to Automated Antenna Design

Research on the Application of BP Neural Networks with a Genetic Algorithms on Forecasting Exchange Rate

Identifying Electromotor Parameters by Genetic Algorithms Combined With Optimizing Methods With Restrained Varying Scale

A modified adaptive genetic algorithms and its application in optimal bidding strategy for hydropower plants

Application of an Improved Genetic Algorithms in Hydraulic Distribution Calculation of Loop Pipe Network

Theoretic Analysis and Accelerating of a Class of Self-Adaptive Niching Genetic Algorithms

Generalized Genetic Algorithms and Its Application to Identifying Flow Parameters

Comparative Study of Genetic Algorithms Encoding Mechanism

Research on Genetic algorithms and its application in customer relationship management

Improving Robustness of the Collaborative Optimization Using Genetic Algorithms

The research of genetic algorithms applied to solving coefficient of integral stability of soil-nail braced structure

Optimal design for the best submain position of micro-irrigation on slope with paired laterals by genetic algorithms

The Convergence of Floating Genetic Algorithms and Its Application in Model Parameter Extraction

A Genetic Algorithms - Based Approach to the Enterprise Resource Supply Chain Management Problem with Primary and Secondary Warehouses

Study of Chemical Subgraph Isomorphism Using Genetic Algorithms

Ksp Research of Insoluble Sulfides by an Artificial Neural Network Based on Genetic Algorithms

Improved multi-modal genetic algorithms and its application on portfolio investment model

Multiobjective Optimization for Process System by Means of Genetic Algorithms

Optimization of Conditions of Simulated Moving Bed Chromatography FOR Separating Mother Liquid of Xylitol with Real Coded Genetic Algorithms

The simulation of the milling optimization parameters for CNC cutting system using self-adaptive genetic algorithms

Using Genetic Algorithms for Parallel Machines Multi-Objective Scheduling Problems with Families and One Resource Constrained

Automated identification of tomatoes with diseases using artificial neural network trained with genetic algorithms

Study of the premature convergence of genetic algorithms

Study of Genetic Algorithms on Pavement Construction's Optimization

Modeling for stochastic resource distribution and solution to stochastic simulation genetic algorithms

Enhanced Genetic Algorithms and Its Application in Process System Engineering

Parameter Optimization of Genetic Algorithms for the Allocation of Highway Maintenance Resources

Genetic Algorithms Applied to Time-Frequency Least Squares Mix-Criterion for Reduced Order Modeling

Parameter Optimization of Fractal Interpolation Functions Using Genetic Algorithms

Application of the Ship Dynamic Positioning Systems Based on Genetic Algorithms

Application of Inversion-Genetic algorithms to parameters identification for the BOD-DO water quality coupling model

Genetic algorithms-based fuzzy optimization BP neural network model and its application

Hydrogeological Parameter Inversion Using Genetic Algorithms

Modeling and Optimization of Cupola Melting Operation with Adaptive Neuro-Fuzzy Inference System Modeling and Genetic Algorithms

Genetic Algorithms of Multi-Species Group and Its Application in the Production Schedule of Hybrid Systems

Application in Parameter Estimation of Nonlinear System Based Upon Improved Genetic Algorithms of Cataclysmic Mutation

Application of Adaptable Genetic Algorithms in Optimal Configuration of Flexible Manufacturing System

Genetic Algorithms Applied to Air Defense Optimization Disposition

Applications and improved schemes of genetic algorithms in structural optimization with discrete variables

Multi-generation compete genetic algorithms for logistics distribution vehicle routing problem

Deriving multipurpose reservoir operating rule curves using multi-objective genetic algorithms

Research on the Best Parameters of Genetic Algorithms to Solve Functional Optimization Problems

Placement Optimization for Thermal Performance of SMT Electronic Components Using Genetic Algorithms

Adaptive Pseudo-Parallel Genetic Algorithms for Solving Double Standard Solid Transportation Problem

Present station and perspective of genetic algorithms' application in mechanical optimization design

Genetic algorithms and its applications in software project management

Real-coded adaptive genetic algorithms and its application in parameter control of pupil filter

The Application of Artificial Neural Network and Genetic Algorithms to the Design of Microstrip Interdigital Capacitor

Application of Genetic Algorithms in the Optimized Control For the Allocation of Time by Traffic Light on T-shaped Road Junctions

Urban highway tunnel; genetic algorithms; BP neural network model; GABP neural network; intelligent drainage system;

Improve Genetic Algorithms and Its Application to Back Analysis of Rock Mass Displacements

Model and genetic algorithms applying to a type of constrained facility location problem

A class of improved genetic algorithms and its optimization performance analysis

Optimizing Structure and Connection Weights of Feedforward Neural Networks Using Genetic Algorithms

Reliability Optimization for Computer Networks Using Parallel Genetic Algorithms

The Application of Genetic Algorithms to the Optimum Configuration of Aircraft Pressure Refuel Pipeline Orifices

Study of niche genetic algorithms applied to seismic CT

Study of Genetic Algorithms for Optimal Control Problem in Greenhouse

An Improved Genetic Algorithms and Its Application in Linear Array Pattern Synthesis

The Application of Genetic Algorithms on Highway Comprehensive Passenger Transport Volume Forecast

The Application of the Genetic Algorithms in the Optimization for the Compensating Pulley System of Luffing Mechanism

Disassembly Sequence Optimization Using Genetic Algorithms

Aerodynamic design optimization of compressor blade using genetic algorithms and response surface model

Improvement on the genetic algorithms and its application in solving equations

Water Distribution Network Optimization Using Ranking Genetic Algorithms

Combination of Orthogonal Experimental Method, Neural Networks and Genetic Algorithms

A Mixed Integer Genetic Algorithms for Solving the Mixed Integer Programming Problems and Simulation Implementing

Analysis of near infrared spectroscopy of beer alcohol content by correlation coefficients and genetic algorithms

Feasibility Study of Using Uniform Design in Genetic Algorithms

Application of Genetic Algorithms in Structural Optimization Design with Discrete Variables

Application of Improved Genetic Algorithms to Topology Optimization of Continuum Structures

A Model of Continuous Time Genetic Algorithms and its Strong Convergence in Probability

The Genetic Algorithms for Optimizing Rotational Group of Irrigation Genetic Distributing Canals

Eugenic evolution strategy genetic algorithms for estimating parameters of heavy oil thermal cracking model

Application of Genetic Algorithms for Influent Flow Distribution in Step-feed Biological Nitrogen Removal System

Programmed Realization for Multi-layered Thin Radar Absorbing Materials Using Genetic Algorithms

The Application of Genetic Algorithms in Computerization of Stock Investment Analysis Technology

Seismic Reliability Optimization of Lifeline System Networks with Genetic Algorithms

Steam Turbine Hydraulic Control System Parameter Estimation Using Genetic Algorithms

Design optimization of instrument of electrical energy monitoring using genetic algorithms

A Genetic-algorithms-based Combinatorial Optimization Method for Alternative Process Plans

Comprehensive planning of distribution networks with genetic algorithms

Portfolio Investment with Nonnegative Constraints on Genetic Algorithms

Diagnosis of Individual Cell Frequencies in a Coupled Cavity Chain by Genetic Algorithms

Application of Genetic Algorithms in Calibration Errors and Optimization Performance of Array Antenna

Combining the genetic algorithms with artificial neural networks for optimization of board allocating

Genetic Algorithms Application in Nonlinear Parameter Estimation

The Application of Genetic Algorithms and BP Neural Network in Orthogonal Experimental Method Optimization

The application of improved genetic algorithms in urban water networks upgrading and expansion engineering

A Study on Improving the Genetic Algorithms for the Resource Smoothing of the Project Networks

Research on Signal Timing for Urban Intersections with Genetic Algorithms Optimizing with the Idea of Bus Priority

Research of New Genetic Algorithms Involving Mechanism of Simulated Annealing

Theoretical analysis and applications of quantum neural networks and quantum genetic algorithms

Simulation Research on Genetic Algorithms of Marine Controllable Pitch Propeller Control System

Application of Hybrid Genetic Algorithms for Aerodynamic Parameter Estimation

Genetic algorithms application in hydropower station for economical operation

Genetic Algorithms Based Power Price Competitive Mechanism under Power Market Environment

Genetic Algorithms with Application to Multi-objective Optimization of Aerodynamic Shapes

Optimizing Parameters in Investment Formulation of Drainage Pipe Using Genetic Algorithms

Estimating parameters of fermentation dynamics model by improved genetic algorithms

random perturbation method of genetic algorithms was proposed to raise efficiency of forward rolling optimization;

Application of improved genetic algorithms in mine dust prevention water supply network optimization

Application of Artificial Neural Networks and Genetic Algorithms in Inverse Heat Conduction Problems

research and application of genetic algorithms in hausdorff measure calculation of sierpinski carpet

Genetic Algorithms and Its Application in Software Test Data Generation

An Application of a New Type of Genetic Algorithms to Image Threshold Handling

Genetic Algorithms of Structural Reliability Calculation

Application of Genetic Algorithms to Global Optimization Design of Electron Optical Emission System

Constructing classifier of neural networks using improved genetic algorithms

Monkey-King Genetic Algorithms for Continuous Nonlinear Programming Problems

Inverse analysis of three dimensional unsteady temperature field with genetic algorithms

The application of genetic algorithms in pole optimization of automobile permanent magnet starting motor

The Application of Atavistic Forced-evolution Genetic Algorithms in the Optimization of Heat Exchange Networks

The Application of Genetic Algorithms to Cellular Manufacturing System Integration

Application of Adaptive and Hierarchic Genetic Algorithms in Function Optimization

Feature Selection Using Multi-Objective Genetic Algorithms for Intrusion Detection

Genetic algorithms applied to experiment of image restoration

Application of Genetic Algorithms on the Information Management in Forestry Cutting Operation

Application of genetic algorithms in combinatorial selection and optimizationof catalytic materials

Genetic Algorithms Based Multiple Maneuvering Target Data Association

Research on the intelligent optimization of the milling parameters for the CNC cutting simulation system based on genetic algorithms

Spinning Process Multi-Objective Optimization with Genetic Algorithms

Application of Multi-target Restriction Genetic Algorithms in Phase Analysis of Geological Samples

A Genetic Algorithms Approach to Optimum Locating of Multiple Stations in Logistics Transportation

Developments on the Application of Genetic Algorithms in Parameter Identification

Multiobjective genetic algorithms and its application in process synthesis

A study of intelligent PID hydraulic turbine governorbased on genetic algorithms

A Study on Genetic Algorithms-Neural Network Ensemble Forecasting Methods of Drought and Water-logging Disasters

Study on the Parameters Optimization Model for Predicting Work Roll Temperature Field by Genetic Algorithms

Genetic Algorithms and Its Application to Spectral Analysis

The Application of Parallel Genetic Algorithms in Optimum Design of the Antenna Structure

Routing and wavelength assignment algorithms improved by genetic algorithms

Resource Planning Optimization in Network Schedule Using Genetic Algorithms

Genetic Algorithms of Inverse-analysis Thermal Parameters of Concrete Temperature

Optimization Design for Cylinders's Equilibrator with Modified Genetic Algorithms

Parameter Estimation for Software Reliability Growth Models by Genetic Algorithms

Application of Genetic Algorithms to Optimization of Engineering Structure Design

Time-cost Tradeoff Optimization of Construction Projects Using Genetic Algorithms

Study of Generation Expansion Planning Based on Genetic Algorithms in the Environment of Electricity Market

Improvement of computational efficiency for genetic algorithms

The Genetic Algorithms for the Carrying Capacity of Parallel Train Working Graph on Single Railway Lines

A Study on Portfolio Investment Decision under Nonnegative Constraints by Genetic Algorithms

Confirming the PID Parameters of Intelligent Vibratory Roller's Vibratory System by Genetic Algorithms

Order Preserving of Gene Section for Solving Traveling Salesman Problems Using Genetic Algorithms

Application of multi-objective interaction genetic algorithms in determining test point's problem

Study on the productive method on the initial population by using genetic algorithms to solve the constrained optimization problems

Genetic Algorithms and Their Applications in Chemistry and Chemical Engineering

Fuzzy Logic and Genetic Algorithms Applied to Intrusion Detection

Vibration Absorber Design for Reducing Structural Sound Level Using Genetic Algorithms

Development and Application Status of Genetic Algorithms In Intrusion Detection System

Optimal Placement of Actuators in Actively Controlled Structures by Genetic Algorithms

Optimization selection for design parameters of vibrating plates by genetic algorithms

Improvement on Genetic Algorithms Using Rank and a Kind of Adaptive Crossover Probability

The Discretization of Continuous Attributes Using Genetic Algorithms

Application of genetic algorithms to system reliability optimization