Study on Interactive Genetic Algorithm based on Multi-objective Model

交互式遗传算法（iGA）是一种由人对候选设计进行评价的评价计算方法。由于这种机制，iGA可以处理感性信息和人类的主观感受。在传统的iGAs中，只有一个目标函数。然而，在一些现实世界的问题中，有很多问题有很多对象。本研究提出并讨论了iGA的多目标模型。在讨论中，我们首先对问题和挑战进行了分类。然后，我们克服了这些缺陷，构建了多目标iGA系统。根据本研究的结果，我们可以构建一个用户可以选择更优解决方案的系统。

Interactive Genetic Algorithm (iGA) is one of evaluation computations in which the design candidates are evaluated by human. Because of this mechanism, iGA can treat Kansei information and subjective feelings of humans. In the conventional iGAs, there is only one objective function. However, in several real world problems, there are a lot of problems which have many objects. In this study, multi-objective model for iGA was proposed and discussed. In the discussions, we classified the problems and challenges first. Then, we conquered these defects and constructed the multi-objective iGA system. From the results of this study, we can construct the system in which user can choose much more preferable solutions.