Paper Title
APPLICATION OF GENETIC ALGORITHM FOR THE DESIGN OF PYGMY HIPPOPOTAMUS EXHIBITION AREA

Abstract
This research focuses on the application of Genetic Algorithm (GA) techniques for the design of Pygmy hippopotamus exhibition spaces, referring to the "Size & Space" criteria of the Southeast Asian Zoo Association (SEAZA) which stipulates land size regulations. Water Area Mud ponds and shade proportions correspond to the behavior of this animal. The research process began collecting data on the behavior and needs of Pygmy hippopotamus, as well as determining the location of the staff corridor for safety, then creating a parametric model in the Grasshopper software and connecting the Ladybug Tools plug in to analyze the percentage of shade changes over time. The researcher defined the variables (Genome) and the measurement function (Fitness Function), which emphasized the proportion of shade. Pool size Mud pit location This includes the use of the Continental Swimming Pool to ensure that the pool is not smaller than 7.5 square meters. It has a depth of at least 80 centimeters and a shaded area of 35–60% of the outdoor area. The results of the evaluation show that the use of GA significantly reduces the revision cycle. It meets a variety of conditions and maintains the well-being of animals. This allows operators to choose a design that balances both engineering and animal welfare. In addition, this method can be applied to other animals with specific needs by optimizing the parameters and measurement functions, thus being an important mechanism to raise the standard of animal exhibition space design to be efficient and cost-effective in the long term. Keywords - Genetic Algorithm (GA), Pygmy Hippopotamus, Parametric Design, Shadow Analysis, Zoo Exhibit Layout