Showing 4 open source projects for "genetic algorithm path"

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  • 1
    LeetCode Master

    LeetCode Master

    About "Code Thoughts" LeetCode Practice Guide: 200 classic questions

    leetcode-master is a comprehensive collection of LeetCode solutions written in C++ and organized as a structured learning path for coding interview preparation. The repository contains detailed explanations, categorized problem sets, and step-by-step reasoning behind solutions, making it an effective study companion for developers preparing for technical interviews. Problems are grouped by topic—such as arrays, linked lists, dynamic programming, greedy algorithms, and graph theory—so learners...
    Downloads: 1 This Week
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  • 2
    CodeGuide

    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...
    Downloads: 0 This Week
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  • 3
    TEACUP

    TEACUP

    TCP Experiment Automation Controlled Using Python

    TEACUP automates many aspects of running TCP performance experiments in a specially-constructed physical testbed. TEACUP enables repeatable testing of different TCP algorithms over a range of emulated network path conditions, bottleneck rate limits and bottleneck queuing disciplines. TEACUP utilises a text-based configuration file to define experiments as combinations of parameters specifying desired network path and end host conditions. When multiple values are provided (e.g. for TCP...
    Downloads: 0 This Week
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  • 4
    A repository of grid computing student exercises. The repository currently contains a grid-enabled mergesort using Condor. Exercises to be developed include genome analysis, genetic algorithm, integration, matrix multiply, ray tracing, etc.
    Downloads: 0 This Week
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