## 3 Methodology
### Method  
(1) Research Design:  
The choice of interactive genetic algorithms (IGAs) as methodology in this study is rooted in their unique suitability for addressing the research question and contributing to the exploration of color patterns in urban ocean design. IGAs offer several key advantages that align with the study's objectives:  
Participatory Design: IGAs are inherently participatory, enabling collaboration among designers, stakeholders, and community members. This participatory element is crucial in urban ocean color design, as it allows diverse perspectives and preferences to shape the final color schemes. By involving multiple stakeholders in the decision-making process, IGAs ensure that the resulting color patterns resonate with the aspirations of the community and meet their psychological needs. Iterative Optimization: The iterative nature of IGAs allows for the continuous refinement of color patterns over successive generations. This iterative optimization process is well-suited to urban environments, which often demand adaptability and evolution to meet the changing needs and preferences. In the context of marine cities, where the coastal environment and community dynamics are dynamic, IGAs provide a means to adjust color choices in response to evolving conditions. Integration of Relevant Theories: IGAs facilitate the integration of theories from color science and environmental psychology into the design process. These theories provide a theoretical framework for understanding the psychological and behavioral impact of colors in urban environments. IGAs enable designers to apply these theories practically, guiding the selection of colors and patterns that evoke desired emotional responses and promote well-being among urban residents and visitors. This study employed a comprehensive research design that combined qualitative and quantitative methods in an exploratory approach. The aim was to investigate the relationship between color and human psychological needs in environmental landscapes, with a specific focus on sustainable design for marine cities. Interactive genetic algorithms (IGAs) were selected as an effective tool for color design and for integrating relevant theories into the design process. The iterative nature of IGAs allowed for multiple feedback loops with participants, facilitating the exploration of different color patterns and their evaluation based on human preferences and psychological needs. The study incorporated theories from color science and environmental psychology to guide the design process. (2) Data Collection:  
This research data collection process was meticulously structured, employing a blend of questionnaires and fieldwork. This comprehensive approach was undertaken to holistically understand how people perceive and interact with color in the urban environment, particularly in the context of marine cities, to delve deep into participants' perceptions, preferences, and psychological responses to color within urban landscapes. Its development underwent rigorous scrutiny to ensure its effectiveness in providing an encompassing view of participant perspectives. The questionnaire encompassed several key sections:  
Perceived Emotional Responses: Participants were presented with a series of urban landscape images, each featuring different color schemes. They were then prompted to articulate their perceived emotional responses to each image using a predefined set of emotional descriptors, such as \"very satisfied\", \"satisfied\", \"average\", and \"dissatisfied\". Preference Rankings: Participants were invited to rank various color schemes and combinations based on their personal preferences. This ranking exercise allowed us to identify the color patterns that resonated most with participants. Psychological Impact Assessment: The questionnaire included a series of questions aimed at evaluating the psychological impact of colors within urban landscapes.