Evolutionary-Algorithm | Evolutionary Algorithm using Python , don & # 39 ; t bother | Machine Learning library

 by   MorvanZhou Python Version: Current License: MIT

kandi X-RAY | Evolutionary-Algorithm Summary

kandi X-RAY | Evolutionary-Algorithm Summary

Evolutionary-Algorithm is a Python library typically used in Artificial Intelligence, Machine Learning applications. Evolutionary-Algorithm has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However Evolutionary-Algorithm build file is not available. You can download it from GitHub.

Evolutionary Algorithm using Python, don't bother with Python Chinese AI teaching

            kandi-support Support

              Evolutionary-Algorithm has a medium active ecosystem.
              It has 1130 star(s) with 634 fork(s). There are 64 watchers for this library.
              It had no major release in the last 6 months.
              There are 4 open issues and 12 have been closed. On average issues are closed in 28 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Evolutionary-Algorithm is current.

            kandi-Quality Quality

              Evolutionary-Algorithm has 0 bugs and 38 code smells.

            kandi-Security Security

              Evolutionary-Algorithm has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Evolutionary-Algorithm code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Evolutionary-Algorithm is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              Evolutionary-Algorithm releases are not available. You will need to build from source code and install.
              Evolutionary-Algorithm has no build file. You will be need to create the build yourself to build the component from source.
              Evolutionary-Algorithm saves you 373 person hours of effort in developing the same functionality from scratch.
              It has 890 lines of code, 68 functions and 13 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Evolutionary-Algorithm and discovered the below as its top functions. This is intended to give you an instant insight into Evolutionary-Algorithm implemented functionality, and help decide if they suit your requirements.
            • Run a NEAT run
            • Renders a network
            • Plots the population s average fitness
            • Plot the species size per species
            • Generate a random kid
            • Calculate reward
            • Reshapes parameters to a matrix
            • Calculate the action
            • Train the network
            • Runs the evaluation
            • Evolve n times
            • Mutate a candidate
            • Perform crossover
            • This method is called by the kill method
            • Build network
            • Plot the problem
            • Reshape params to a matrix
            • Evaluate the population
            • Perform crossover on a population
            • Translate a DNA sequence to the coordinates
            • Plot the city position
            • Compute fitness for a given line
            • Perform crossover of two individuals
            • Convert DNA from DNA to product
            • Mutate a child
            • Select a random population
            Get all kandi verified functions for this library.

            Evolutionary-Algorithm Key Features

            No Key Features are available at this moment for Evolutionary-Algorithm.

            Evolutionary-Algorithm Examples and Code Snippets

            EARS - Evolutionary Algorithm Rating System,Examples
            Javadot img1Lines of Code : 93dot img1License : Strong Copyleft (GPL-3.0)
            copy iconCopy
            import org.um.feri.ears.algorithms.AlgorithmInfo;
            import org.um.feri.ears.algorithms.Author;
            import org.um.feri.ears.algorithms.Algorithm;
            import org.um.feri.ears.problems.DoubleSolution;
            import org.um.feri.ears.problems.StopCriterionException;
            geneticalgorithm,Genetic algorithm's parameters
            Pythondot img2Lines of Code : 48dot img2License : Non-SPDX (NOASSERTION)
            copy iconCopy
            algorithm_param = {'max_num_iteration': None,\
                               'elit_ratio': 0.01,\
                               'crossover_probability': 0.5,\
            RegEx generator using evolutionary algorithm
            Pythondot img3Lines of Code : 45dot img3no licencesLicense : No License
            copy iconCopy
            total generation: 98
            valid patterns:

            Community Discussions

            Trending Discussions on Evolutionary-Algorithm


            I am using BeautifulSoup, how can I get the link after the redirect?
            Asked 2019-Jan-16 at 08:31

            I want to get the link after the redirect of the download link in the article page.

            For example: https://scanlibs.com/neural-networks-systems-evolutionary-algorithms-2nd/

            In the above article page, there are the following download links: https://scanlibs.com/neural-networks-systems-evolutionary-algorithms-2nd/yz5cw79mbn3a/ECNHOgoNYk0MIkEoFlUkFlY5Vj5WVSRQACVKfx8EOw8ReVs+FFs=

            Open this link directly, it will not redirect to the real download link, you need to open it in the article page.



            Answered 2019-Jan-16 at 08:31

            This website checks if the referer is set while redirecting. You can just give the original url as referer in the header and easily bypass this. You can also see that the referer is used as a url parameter in the final download link.

            Source https://stackoverflow.com/questions/54212278

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install Evolutionary-Algorithm

            You can download it from GitHub.
            You can use Evolutionary-Algorithm like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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