Research on Optimization of Food Industry Processing Process Based on Computational Intelligence

Computational intelligence refers to an algorithm inspired by the body structure of natural animals and plants unique landscapes. It can perform simultaneous multithreaded work. In processing process food industry, multiple factors must be considered at same time optimize various parameters simultaneously. Therefore, this research combines computational algorithms with flow conducts on optimization systems processes, fully understands needs market, competitiveness company’s products, people facing marketing. The MA-CI model was used entire production, variables were integrated. following conclusions drawn: (1) When node size = 100 , calculate optimal value intelligent id="M2"> MA − CI 0.3196 id="M3"> worst value 0.3120 id="M4"> average plus minus variance 0.3155 ± 4.6278 × 10 6 in each index. Both are better than Greedy EA model. id="M5"> 200 calculation id="M6"> 0.3050 id="M7"> 0.2900 id="M8"> and 0.2970 8.9251 ; when id="M9"> 300 (MA-CI) id="M10"> optimal 0.2608 id="M11"> 0.2499 id="M12"> mean 0.2551 1.0028 5 id="M13"> 500 id="M14"> 0.2857 id="M15"> 0.2812 id="M16"> 0.2834 2.8230 . (2) electronic circuit network, (MA-CI): id="M17"> Rc 0.3174 id="M18"> NMI 0.7388 id="M19"> Δ Ec 0 id="M20"> k 14.43 USAir is as follows: id="M21"> 0.3041 id="M22"> 0.8632 id="M23"> id="M24"> 7.43 (the uniqueness optimality MA-CI) has resulted solution for global machining process. (3) Using six online databases predict verify it found that industry standard value. (4) Perform performance testing optimized under model, id="M25"> MUTAG 98.2 4.3 id="M26"> ENZYMES 96.2 id="M27"> PTC 85.2 id="M28"> PROTEINS 82.0 3.2 id="M29"> NCI 1 80.2 2.0 id="M30"> D & 91.9 0.5 which other models. control profit problem make enterprise obtain maximum shortest period.