【摘要】：鮮活農(nóng)產(chǎn)品易變質(zhì)的特性決定了其配送過程的困難性,針對這一難題,擬構(gòu)建鮮活農(nóng)產(chǎn)品的變質(zhì)函數(shù)和配送時間的懲罰函數(shù),并依此建立帶有時間窗的鮮活農(nóng)產(chǎn)品冷鏈物流路徑優(yōu)化模型。通過人工蜂群算法(ABC)對模型進行求解,以自然數(shù)編碼的方式生成食物源,并討論食物源的更新公式和適應度函數(shù),研究具體的求解步驟和判斷標準。利用數(shù)值算例驗證了所建模型的合理性,結(jié)果表明,人工蜂群算法對此類問題具有有效性和可行性。
[Abstract]:The perishable nature of fresh agricultural products determines the difficulty of the distribution process. In view of this problem, the deterioration function of fresh agricultural products and the penalty function of distribution time are to be constructed. Based on this, the model of cold chain logistics path optimization for fresh agricultural products with time window is established. The model was solved by artificial bee colony algorithm (ABC), and the food source was generated by natural number coding. The updating formula and fitness function of food source were discussed, and the concrete solving steps and judging criteria were studied. A numerical example is used to verify the rationality of the proposed model. The results show that the artificial bee colony algorithm is effective and feasible for this kind of problem.
【作者單位】： 南京工業(yè)大學經(jīng)濟與管理學院;
【基金】：國家自然科學基金(編號:71301073) 江蘇省高校研究生科研創(chuàng)新計劃(編號:KYLX_0785)
【分類號】：F252;F326.6;TP18
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本文編號：2400276