In design problems, designers have to decide many properties of products to satisfy requirements from users or market. The designers also have to consider the environment under the use of the products and the environment is often unpredictable or difficult to be determined in detail. The optimization techniques are useful to support the designers to decide the properties of the product. However, it is required before the application of the optimization techniques to formulate mathematical models and it is difficult to formulate the all properties of products, for examples preferences of the customer. In this situation, it seems to be useful to derive several solutions that equip the variety or diversity about the value of design variables or objective functions. In this paper, the new method to derive several solutions using immune algorithms is described. The proposed method equips the interaction mechanism between the design parameter and the environment parameters. Through some numerical examples of the structural design problems and job-shop scheduling problems, the effectiveness is confirmed.

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