fst-pso | free global optimization method based on PSO and fuzzy logic

 by   aresio Python Version: 1.8.1 License: LGPL-3.0

kandi X-RAY | fst-pso Summary

kandi X-RAY | fst-pso Summary

fst-pso is a Python library. fst-pso has no bugs, it has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has low support. You can install using 'pip install fst-pso' or download it from GitHub, PyPI.

A settings-free global optimization method based on PSO and fuzzy logic
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            kandi-support Support

              fst-pso has a low active ecosystem.
              It has 22 star(s) with 15 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 14 have been closed. On average issues are closed in 74 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of fst-pso is 1.8.1

            kandi-Quality Quality

              fst-pso has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              fst-pso is licensed under the LGPL-3.0 License. This license is Weak Copyleft.
              Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

            kandi-Reuse Reuse

              fst-pso releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              fst-pso saves you 592 person hours of effort in developing the same functionality from scratch.
              It has 1386 lines of code, 87 functions and 8 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed fst-pso and discovered the below as its top functions. This is intended to give you an instant insight into fst-pso implemented functionality, and help decide if they suit your requirements.
            • Calculates fitness
            • Creates a FuzzyReasoner
            • Convert probability distribution to a particle
            • Dilate function
            • Updates solutions
            • Return a list of all solutions with the best solution
            • Check if the item can move
            • This method is called when the main function is called
            • Solve the problem with FST - PSO
            • Actually launch the optimization
            • Performs the iteration
            • Run an optimization
            • Generate new best solution
            • Combine random variates
            • Set search space
            • Calculate the maximum distance between two intervals
            • Auto create particles
            • This function creates a set of all solutions
            • Set fitness
            • Performs forward propagation
            • Set the swarm size
            • Set the fitness function
            • Forward propagation
            Get all kandi verified functions for this library.

            fst-pso Key Features

            No Key Features are available at this moment for fst-pso.

            fst-pso Examples and Code Snippets

            FST-PSO,Example
            Pythondot img1Lines of Code : 13dot img1License : Weak Copyleft (LGPL-3.0)
            copy iconCopy
            from fstpso import FuzzyPSO	
            
            def example_fitness( particle ):
            	return sum(map(lambda x: x**2, particle))
            	
            if __name__ == '__main__':
            	dims = 10
            	FP = FuzzyPSO()
            	FP.set_search_space( [[-10, 10]]*dims )	
            	FP.set_fitness(example_fitness)
            	result =  F  

            Community Discussions

            QUESTION

            How to convert an object to iterable (list)?
            Asked 2018-May-21 at 06:17

            I want to convert an object to an iterable.

            I have the output of the format

            ...

            ANSWER

            Answered 2018-May-21 at 06:17

            The fstpso.pso.Particle object is as follows:

            Source https://stackoverflow.com/questions/50442889

            QUESTION

            ANTLR3 python runtime not detected
            Asked 2018-May-02 at 11:33

            I want to use fstpso package in python which needs ANTLR3 python runtime.
            I downloaded antlr_python_runtime-3.1.3.tar.gz from http://www.antlr3.org/download/Python/ and ran the command sudo python setup.py install. The output of the command was
            Installed /path/to/python/packages/antlr_python_runtime-3.1.3-py2.7.egg

            But after this when I try to import fstpso module in python, it throws the error
            The ANTLR3 python runtime was not detected; pyfuzzy cannot import FST-PSO's FLC files

            I am using python 2.7.12 on linux.

            Is there something I did wrong? Or I have to update any PATH in the environment? Thanks for your help!!

            ...

            ANSWER

            Answered 2018-May-02 at 11:33

            I'm fst-pso main developer. In the last days I reimplemented the Sugeno reasoner from scratch, to finally remove the pufuzzy/ANTL3 dependency. I just uploaded the new package on PyPI.

            Now you can pip install the new version of fst-pso (v 1.4.0); please let me know if that works correctly.

            Source https://stackoverflow.com/questions/49443086

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

            Vulnerabilities

            No vulnerabilities reported

            Install fst-pso

            You can install using 'pip install fst-pso' or download it from GitHub, PyPI.
            You can use fst-pso 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.

            Support

            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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            Install
          • PyPI

            pip install fst-pso

          • CLONE
          • HTTPS

            https://github.com/aresio/fst-pso.git

          • CLI

            gh repo clone aresio/fst-pso

          • sshUrl

            git@github.com:aresio/fst-pso.git

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