Development of Multiobjective Design Simulator for Livestock Feed Formulation Using a GA

使用遗传算法开发牲畜饲料配方多目标设计模拟器

• 批准号: 12660234
• 负责人: SATAKE Takaaki
• 金额: $ 2.3万
• 依托单位: University of Tsukuba
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2000
• 资助国家: 日本
• 起止时间: 2000 至 2001
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-12660234/
• 关键词: genetic algorithm; optimum design; feed ingredient; multiobjective design; raw material cost

As a preliminary step to develop a multiobjective design simulator for livestock feed formulations using a genetic algorithm, simultaneous optimum design of three kinds of feed, such as poultry feed, swine feed and cattle feed were tried. Twelve different rations of feed ingredients such as corn, grain sorghum, defatted rice bran, and others were designed under constraint conditions of specified nutrient contents. Examples of nutrient contents utilized were crude protein, digestible crude protein, total digestive nutrition and others. Genetic algorithm has been improved upon to minimize the raw material cost of three feed formulations mentioned above.Seven simulations were carried out for different feed formulation using twelve raw materials under three conditions. Firstly, the volume of each raw material for poultry, swine and cattle feed was sufficiently prepared for mix design without restriction. Secondly, the total volume of specified raw materials such as corn and/or corn gluten feed and their usable volumes for three types of feed were restricted. Thirdly, the total volume of specified raw materials such as corn and/or corn gluten feed was restricted but their usable volumes for three types of feed were not restricted.Based on this study, it was cleared that the multiobjective design simulator which was developed in this research has the feasibility to attain the simultaneous optimum design of three kinds of feed formulation under various conditions.

作为利用遗传算法开发家畜饲料配方多目标设计模拟器的初步步骤，尝试了家禽饲料、猪饲料和牛饲料三种饲料的同时优化设计。在特定营养成分的约束条件下，设计了玉米、高粱、脱脂米糠等12种不同饲料成分的日粮。所利用的营养成分的例子有粗蛋白、可消化粗蛋白、总消化营养等。对遗传算法进行了改进，使上述三种饲料配方的原料成本最小。以12种原料为原料，在三种条件下对不同的饲料配方进行了7次模拟。首先，家禽、猪和牛饲料的每种原料的体积都准备好了，可以不受限制地进行混合设计。其次，限制玉米和/或玉米面筋饲料等特定原材料的总量及其对三种饲料的可用量。第三，限制了玉米和/或玉米蛋白饲料等特定原料的总量，但不限制其对三种饲料的使用量，表明本研究开发的多目标设计模拟器具有在不同条件下实现三种饲料配方同时优化设计的可行性。