NoFantasy—— Beta Code Standards

NoFantasy 2024-12-20 23:32:50
Course for This Assignment2401_MU_SE_FZU
Team NameNoFantasy
Assignment RequirementsTeamwork—beta Spring
Objectives of This AssignmentBeta Sprint
Other ReferencesNo Reference

Code Standards

Front:[Front-end code specification]

Back:[Back-end code specification]

  1. Readability:
    • Use parentheses to explicitly define operator priorities and avoid relying on default precedence.
    • Keep related code closely grouped to maintain logical continuity.
    • Only use complex sentences when absolutely necessary to avoid over-complicating the code.
  2. Statement Writing:
    • Break long parameter lists in functions or procedures into multiple lines for better readability.
    • Ensure proper indentation in all files, aligning left and right parentheses correctly.
    • Add spaces around operators when multiple keywords, variables, or constants are involved to improve clarity.
  3. Comments and Annotations:
    • Ensure that at least 20% of the source code is annotated.
    • Write comments while coding, and update comments when modifying code to ensure consistency.
    • Comments should be clear, concise, and accurate, avoiding ambiguity.
    • Avoid abbreviations in comments, especially overly short terms.
    • Place comments either above or to the right of the corresponding code (for single statements). Do not place comments below the code.
    • Add blank lines between comments and code when comments are placed above the code.
    • Annotate data structure declarations near their definition, with each field commented to the right.
    • Provide detailed comments for global variables, including their function, value range, and considerations for access.
    • Indent annotations consistently to match the surrounding code structure.
    • Add comments to variable definitions and branch statements (e.g., conditionals and loops) while avoiding inline comments.
  4. Identifier Naming:
    • Use clear and meaningful names for identifiers, avoiding single-character names (except for local loop variables like i, j, or k).
    • Document special naming conventions or abbreviations for clarity.
    • Maintain a consistent naming style throughout the project.
    • Follow established naming conventions within the project and avoid mixing uppercase and underscores.
    • Avoid using numbers or unusual characters in identifiers unless absolutely necessary.
    • Use appropriate antonyms for naming variables with opposite meanings or functions.
    • Avoid identifiers that begin or end with underscores.
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内容概要:本文围绕水陆两栖无人机的任务规划与执行问题,提出了一种基于Matlab实现的智能路径规划解决方案,重点融合粒子群优化算法(PSO)与遗传算法(GA)进行三维环境下的避障路径规划。研究系统性地构建了从复杂地形建模、任务需求分析到算法设计与仿真实验的完整流程,实现了在多约束、动态障碍物等复杂环境下无人机的高效任务调度。通过对GA与PSO两种智能优化算法在路径长度、收敛速度、路径平滑度及稳定性等方面的对比分析,深入探讨了各自在无人机路径规划中的适用场景与性能差异,验证了所提方法在提升任务执行效率与安全性方面的有效性。该方案不仅适用于水陆交互通用场景,也为多模态无人系统自主导航提供了可扩展的技术框架。; 适合人群:具备一定Matlab编程能力和算法基础,从事无人机路径规划、智能优化算法研究、自动化控制或相关领域科研工作的研究生、科研人员及工程技术人员。; 使用场景及目标:①应用于水陆两栖无人机在复杂自然环境(如江河湖海与陆地交错区域)中的自主巡航与任务执行;②比较遗传算法与粒子群算法在三维动态路径规划中的优化性能,指导实际工程中算法选型;③为多约束条件下无人系统的自主决策与实时避障提供算法支持与仿真验证平台。; 阅读建议:建议读者结合提供的Matlab代码进行动手实践,重点关注两种算法的数学建模过程、适应度函数设计、参数调优策略及路径生成逻辑,通过仿真实验直观对比算法性能差异,深入理解智能优化算法在复杂路径规划问题中的应用机制与优化潜力。

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