Design and Application of Multi-objective Optimal Routing Algorithm in English Machine Translation System

In the field of English machine translation, translation is a crucial link. Traditional methods usually require manual operations to process English words, grammar and sentences, etc. However, through the design of English vocabulary and sentence structure based on the multi-objective optimization algorithm, it can not only solve the problem that traditional methods are difficult to deal with complex words and sentence patterns, but also store the text in pages on the server for readers to use to read or download query functions. Based on the multi-objective optimization routing algorithm, this paper designs the basic structure of the English machine translation system and tests the performance of the system. The test results show that the resource occupancy rate of the English machine translation model is generally between 2% and 5%. At the same time, it can find and translate content information that meets the standards in the data, thereby improving efficiency and accuracy. The research findings on multi-objective optimization routing algorithms in English machine translation systems have been conducted. Multi-objective optimization routing algorithms aim to find the optimal routes that satisfy multiple objectives simultaneously, such as minimizing translation errors, maximizing translation quality, and reducing processing time. These algorithms consider the trade-offs among different objectives and attempt to find a set of Pareto-optimal solutions that represent the best compromise among the objectives. The research on multi-objective optimization routing algorithms in English machine translation systems has shown promising results. These algorithms can significantly improve the overall performance of the translation system by considering multiple objectives simultaneously. By finding the optimal routes that balance different objectives, these algorithms can effectively enhance the translation accuracy, fluency, and efficiency.