HeuristicSearch | Artifical Intelligence project : AStar family

 by   MSaIim Python Version: Current License: No License

kandi X-RAY | HeuristicSearch Summary

kandi X-RAY | HeuristicSearch Summary

HeuristicSearch is a Python library. HeuristicSearch has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

in this project, the astar family of algorithms were implemented to show how a computer can find its own optimal path. to better understand the performance and how a heuristic guides the algorithm, there are five different heuristic implementations (all the heuristic formulas can be found under algorithms/formulas.py):. in addition, there is also the uniform cost search algorithm which does not use any heuristic; resulting in the shortest path cost to the goal (manhattan and euclidean give the same path length cost if their weight is set to one). you must have python 3+ installed with pygame and numpy. if you want to run maptest.py, you will need xlwt and pympler as well. if you have python2 installed alongside python3, then run the following commands using pip3. install pygame and numpy for the main program. install xlwt and pympler for the maptest.pyprogram. if you have cython
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            kandi-support Support

              HeuristicSearch has a low active ecosystem.
              It has 0 star(s) with 0 fork(s). There are 3 watchers for this library.
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              It had no major release in the last 6 months.
              HeuristicSearch has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of HeuristicSearch is current.

            kandi-Quality Quality

              HeuristicSearch has no bugs reported.

            kandi-Security Security

              HeuristicSearch has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              HeuristicSearch does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              HeuristicSearch releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

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            HeuristicSearch Key Features

            No Key Features are available at this moment for HeuristicSearch.

            HeuristicSearch Examples and Code Snippets

            No Code Snippets are available at this moment for HeuristicSearch.

            Community Discussions

            No Community Discussions are available at this moment for HeuristicSearch.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install HeuristicSearch

            You can download it from GitHub.
            You can use HeuristicSearch 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.

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            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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          • HTTPS

            https://github.com/MSaIim/HeuristicSearch.git

          • CLI

            gh repo clone MSaIim/HeuristicSearch

          • sshUrl

            git@github.com:MSaIim/HeuristicSearch.git

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