Research on Fish Slicing Method Based on Simulated Annealing Algorithm

Multiobjective optimization is a common problem in the field of industrial cutting. In actual production settings, it necessary to rely on experience skilled workers achieve multiobjective collaborative optimization. The process intelligence perceive parameters cut object through sensors and use machines instead manual decision making. However, traditional sequential algorithm cannot satisfy problems. This paper studies irregular objects aquatic product processing uses information guidance strategy develop simulated annealing solve according characteristics itself. By optimizing mutation strategy, ability jump out local optimal solution improved. project team developed an experimental prototype verify algorithm. results show that compared with method, degradation designed this effectively improves quality target greatly enhances economic value by addressing squid At end article, cutting error analyzed.