Search Results for "a star algorithm path"
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Showing 17 open source projects for "a star algorithm path"
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Grey Wolf Optimizer for Path Planning
Grey Wolf Optimizer (GWO) path planning/trajectory
The Grey Wolf Optimizer for Path Planning is a MATLAB-based implementation of the Grey Wolf Optimizer (GWO) algorithm designed for UAV path and trajectory planning. It allows simulation of both two-dimensional and three-dimensional UAV trajectory planning depending on parameter setups. The tool provides built-in functions to configure different UAV environments and supports multiple optimization objectives. -
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ngraph.path
Path finding in a graph
ngraph.path is a JavaScript library that implements efficient pathfinding algorithms for graphs, primarily designed to compute shortest paths in weighted or unweighted networks. It provides a clean API for constructing graph models, assigning weights to edges, and querying for optimal routes between nodes, making it useful for routing, games, maps, and network optimization. The library includes several algorithm implementations such as A*, Dijkstra’s, and breadth-first search, each suited to... -
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LeetCode Master
About "Code Thoughts" LeetCode Practice Guide: 200 classic questions
...Each solution is accompanied by clear commentary to explain the thought process, algorithm design, and complexity analysis. The project is continuously updated and widely used by learners as both a reference and a roadmap to progress from beginner to advanced LeetCode practice. With its thorough coverage and educational style, leetcode-master helps programmers build strong problem-solving skills and confidence for competitive programming. -
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Jimp
An image processing library written entirely in JavaScript for Node
An image processing library for Node written entirely in JavaScript, with zero native dependencies. If you're using this library with TypeScript the method of importing slightly differs from JavaScript. Instead of using require, you must import it with ES6 default import scheme. If you're using a web bundles (webpack, rollup, parcel) you can benefit from using the module build of jimp. Using the module build will allow your bundler to understand your code better and exclude things you aren't... -
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CodeGuide
This repository is a collection of the author, Xiao Fuge
CodeGuide is a curated collection of Java development resources built from years of real-world engineering experience by the author, who has worked extensively in large-scale internet companies. The project serves as a structured and comprehensive learning path for developers who want to strengthen their understanding of Java fundamentals and core programming practices. It includes detailed explanations of design patterns, source code analysis, frameworks, algorithms, and real-world project... -
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HiPS : Hierarchical Petri net Simulator
HiPS tool features to design and analyze hierarchical Petri nets
HiPS tool is developed at the Department of Computer Science and Engineering, Shinshu University, which is a tool design and analysis of Petri nets, developed using Microsoft Visual C # and C++. HiPS tool has a way of intuitive GUI which enable hierarchical and/or timed-net design. HiPS tool has also functions of static/dynamic analysis : T-invariant detection, Reachability path analysis, deadlock state detection, and k-boundedness analysis. In addition, it is possible to perform a random... -
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Dep
Go dependency management tool experiment
Dep was an official experiment to implement a package manager for Go. While dep has many discrete components and moving parts, all of these parts revolve around a central model. Dep is a tool intended primarily for use by developers, to support the work of actually writing and shipping code. It is not intended for end users who are installing Go software - that's what go get does. It is strongly recommended that you use a released version of dep. While tip is never purposefully broken, its... -
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PythonRobotics
Python sample codes and textbook for robotics algorithms
PythonRobotics is a Python code collection and textbook for learning robotics algorithms through readable examples. It covers practical topics such as localization, mapping, path planning, path tracking, control, SLAM, and autonomous navigation. The project is written to make each algorithm’s core idea easy to understand, rather than hiding the logic behind large frameworks. It keeps dependencies minimal so learners can focus on the math, implementation, and behavior of each robotics method.... -
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Flutter Go
Demos and documentation for over 140 Flutter UI components
flutter-go is a community-driven Flutter application that serves as an interactive catalog of Flutter widgets, layouts, and patterns. It organizes the Flutter ecosystem into browsable categories—basic widgets, material components, Cupertino elements, layout primitives, and animation demos—so learners can see how pieces behave in a running app. Each entry typically includes a live example, code snippet, and brief notes on properties or usage, turning the app into a hands-on reference you can... -
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Path Finder Qt
finds the sortest path on the square board. GUI is implemented in Qt.
...For every modification of the board, the shortest path is calculated automatically. Some statistics related to A* algorithm are presented as well. This project is related to my other projects located at sourceforge as well: https://sourceforge.net/projects/a-star/ https://sourceforge.net/projects/shortest-path-graph-a-star/ -
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Satsuma .NET Graph Library
a delicious .NET graph library
Satsuma is a graph library for .NET, written in C#. Satsuma is an easy-to-use and flexible library, which implements all the necessary graph structures, and the fastest possible graph algorithms. DOCUMENTATION: http://satsumagraph.sourceforge.net/ Satsuma is not a charting library. 'Graph' is used in the mathematical sense here (e.g. nodes connected with arcs). Satsuma is released under the zlib license. This license is very permissive and allows you to use Satsuma for both personal... -
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Algorithms in Python
Data Structures and Algorithms in Python
Algorithms in Python is a collection of algorithm and data structure implementations (primarily in Python) meant to serve as both learning material and reference code for engineers. It includes code for graph algorithms, heap data structures, stacks, queues, and more — each implemented cleanly so learners can trace logic and adapt for their problems. The repository is particularly useful for people preparing for competitive programming, job interviews, or building a foundational... -
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Rating Algorithms
Library implementating various rating, scoring, ranking algorithms.
The rating algorithms library contains various algorithms used to accurately rank, score or rate collections of similar data. One example is the ranking of votes based on a 5 star scale. This project started as a need of ordering data based on the relevance of each record obtained from users. The first algorithm implemented is based on Wilson Score Interval. -
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MicroPather is a path finder and A* solver (astar or a-star) written in platform independent C++ that can be easily integrated into existing code. MicroPather focuses on being a path finding engine for video games but is a generic A* solver.
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In this project we develop a software, that uses evolutionary algorithm to evolve a solution, that can drive a car on an arbitrari path.
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Path Partitioner
Finds bad examples for the local search Path Partitioning algorithm
Path Partitioner constructs random graph partitions and solves the linear (or integer) programming problems that assign weights to the edges such that the performance ratio of the local search algorithm for the Path Partitioning problem is minimized. See http://www.tau.ac.il/~ohadschn/Thesis/Partitioning.pdf. Requirements: Microsoft Automatic Graph Layout http://research.microsoft.com/en-us/projects/msagl/ Gurobi Optimizer http://www.gurobi.com/ Permutations, Combinations, and Variations using C# Generics http://www.codeproject.com/Articles/26050/Permutations-Combinations-and-Variations-using-C-G -
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A minimalistic CASE tool that will allow end-users to analyze their graphs (plain-old graphs, UML diagrams, ERDs, etc.) by applying various graph theory functions to them (such as a shortest path algorithm or a spanning tree algorithm.)
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