Study on Interactive Genetic Algorithm based on Multi-objective Model

交互式遗传算法（伊加）是一种由人工对候选设计进行评价的计算方法。由于这种机制，伊加可以处理感性信息和人类的主观感受。在传统的遗传算法中，只有一个目标函数。然而，在真实的世界中的许多问题中，却存在着许多对象众多的问题。在这项研究中，多目标模型的伊加提出和讨论。在讨论中，我们首先对问题和挑战进行了分类。在此基础上，我们克服了这些缺陷，构建了多目标伊加系统。根据本研究的结果，我们可以建立一个系统，让使用者可以选择更好的解决方案。

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.