بررسی، بهینه‌سازی مصرف انرژی و مدل‌سازی عملکرد دو رقم شلتوک با الگوریتم ژنتیک-کلونی زنبور عسل مصنوعی

مقالات آماده انتشار

نوع مقاله : مقاله پژوهشی

نویسندگان

• سینا شریفی ¹
• نگار حافظی ²
• محمدحسین آق خانی ³

¹ دانش‌آموخته‌ کارشناسی ارشد مکانیزاسیون کشاورزی، گروه مهندسی بیوسیستم، دانشکده کشاورزی، دانشگاه فردوسی مشهد، مشهد، ایران

² دانش‌آموخته دکتری مکانیزاسیون کشاورزی، گروه مهندسی بیوسیستم، دانشکده کشاورزی، دانشگاه شهید چمران اهواز، اهواز، ایران

³ گروه مهندسی بیوسیستم، دانشکده کشاورزی، دانشگاه فردوسی مشهد، مشهد، ایران

https://doi.org/10.22067/jam.2022.77064.1108

چکیده

استفاده کارآمد از انرژی در تولید شلتوک برنج، با کاهش انتشار گازهای گلخانه‌ای، از تخریب بوم‌نظام‌های کشاورزی جلوگیری نموده و سبب توسعه کشاورزی پایدار می‌شود. هدف از این مطالعه، بررسی، مقایسه، بهینه‌سازی مصرف انرژی و مدل‌سازی عملکرد محصول در تولید دو رقم شلتوک با الگوریتم ژنتیک-کلونی زنبور عسل مصنوعی بود. داده‌ها از طریق مصاحبه با 120 کشاورز و صاحب مزرعه جمع‌آوری شد. نتایج نشان داد که در رقم مرغوب هاشمی و رقم پُرمحصول جمشیدی میانگین کل انرژی مصرفی به‌ترتیب 55.973 و 54.796 گیگاژول بر هکتار بود و میانگین کل انرژی تولیدی به‌ترتیب 30.74 و 62.52 گیگاژول بر هکتار به‌دست آمد که نشان از افزایش 2.03 برابری انرژی تولیدی در رقم جمشیدی نسبت به رقم هاشمی داشت. ارزیابی شاخص‌های R² ،RMSE ،MAPE ،EF و مقایسه آماری میانگین، واریانس و توزیع آماری در مدل تلفیقی الگوریتم ژنتیک-کلونی زنبور عسل مصنوعی بیانگر نتایج مطلوب الگوریتم زنبور عسل مصنوعی به‌عنوان تابع برازندگی الگوریتم ژنتیک بود. همچنین، نتایج بهینه‌سازی مصرف انرژی توسط الگوریتم ترکیبی ژنتیک-کلونی زنبور عسل مصنوعی نشان داد که بیشتر منابع مصرفی از حالت بهینه فاصله دارند که با مدیریت صحیح امکان صرفه‌جویی مصرف انرژی در رقم‌های هاشمی و جمشیدی به‌ترتیب 53.96 و 39.41 درصد وجود دارد. ارقام پُرمحصول با هدف تأمین امنیّت غذایی، آبی و انرژی اصلاح شده‌اند. نتایج پژوهش حاضر، می‌تواند در شناسایی پتانسیل صرفه‌جویی انرژی در صنعت برنج کشور کمک به‌سزایی داشته باشد.

کلیدواژه‌ها

• الگوریتم ژنتیک
• الگوریتم کلونی زنبور عسل مصنوعی
• بهینه‌سازی
• شلتوک

موضوعات

• مدل‌سازی

©2024 The author(s). This is an open access article distributed under Creative Commons Attribution 4.0 International License (CC BY 4.0).

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