Comment《》
（Number：）
The authors thank the editor and anonymous reviewers for their thorough and constructive
reviews, which improved the paper significantly. The comments are listed in the following section.
Reviewer #1: The analysis of the paper is interesting. However, there are comments on
the work need to be addressed in the next revisions as follows:
1. Please organize the paper strictly according to introduction, materials and methods,
results and discussion, conclusion.
Answer：Many thanks to the reviewer for valuable comments. The author reorganized the
paper and analyzed the whole the paper from asking questions, analyzing problems, solving
problems, and drawing conclusions, and established corresponding chapter titles in combination
with the valuable suggestions of reviewer and the requirements of journals, and the corresponding
modifications are given in the following.
Firstly, in Introduction section, we take account the consumer’s diversified needs to product
design. In general, consumers hope to obtain product shapes that meet multiple image needs.
However, most of the current research mainly involves a single intention demand for product
design. In other words, only a single optimization objective is considered in product design
optimization problem. Indeed, there exists multiple optimization objectives in some literature,
where multiple goals are transformed into a single goal in the form of a weighted sum, which is
obviously not in line with consumers' multi-criteria decision-making. Therefore, based on the
multi-objective optimization algorithm, this chapter attempts to propose a hybrid BP-NN and
NSGA-II algorithm product from the perspective of multi-objective optimization. Besides, in this
paper, multi-image modeling evolutionary design method is also used.
Secondly, in Literature review, section, our study is related to the product design literature
that considers image modelings, multi-objective optimization algorithm and artificial neural
network algorithm. As such, we conduct literature review by considering above three strands
literature.
Thirdly, We model our multi-objective optimization problem and design a two-stage hybrid
algorithm for the MIPFED to solving the multi-image product modeling evolutionary design
system, and then, we get computational results by conducting computational experiment. And the
Discussion and conclusion is in the section 5 and 6, repectively.
2. In conclusion session, please highlight your research results and point out the future
work.
Answer：Many thanks to the reviewer for valuable comments. In the conclusion part of the
article, on the basis of the aforementioned research methods and research discussions, the author
refines the conclusions and deepens the research theme of the article. The specific revisions are as
follows:
Most research assumes the consumer’s needs are simple, in which the product design is a single-
image optimization design problem, it is not as good as the multi-image product design to satisfy
consumers’ complex emotional needs for product forms. The multi-image product form design has
great potential to meet increasing individual needs of consumers in modern society. BP-NN and
multi-objective GA are applied in this article to expand the depth of product form design, which
can meet the complex multi-image needs of consumers and thereby increasing the added value and
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