Increasing demand for Artemia sp. as a nutritive food for shrimp and fish drives hatcheries to culture the species in fulfilling market requirements. The goal is to optimize food concentration for Artemia sp. by performing laboratory experiments. Six different amounts viz. 1 mg, 5 mg, 10 mg, 15 mg, 25 mg, and 45 mg of Chaetoceros sp. are used as food to the experiment. The variation in food concentrations has a significant impact on the species’ internal growth mechanism, which produces disparity in the species growth trait phenotype. These phenotypic growth deviations can be well understood through the species growth trajectories, which are governed by the physical laws of Newtonian mechanics. The optimization of food concentration involves several iterations of conventional experiments, which are not time and cost-effective. Biologists have a strong desire to resolve the issue through alternative theoretical approaches. The basic concept of geometry and Newtonian mechanics are applied to the size profile of Artemia sp. to determine the level of food concentration at which it gains the maximum maturity size. We also provide simulation-based theoretical modeling, which would help to optimize the food concentration of the Artemia sp. We conclude that growth acceleration and jerk of Newtonian mechanics is the key regulator for this optimization game.

对卤虫的需求不断增加。作为虾和鱼的营养食品，促使孵化场养殖该物种以满足市场需求。目标是优化卤虫的食物浓度。通过进行实验室实验。六个不同的金额即。1 毫克、5 毫克、10 毫克、15 毫克、25 毫克和 45 毫克角角藻sp. 用作实验的食物。食物浓度的变化对物种的内部生长机制有显着影响，从而导致物种生长性状表型的差异。通过受牛顿力学物理定律支配的物种生长轨迹，可以很好地理解这些表型生长偏差。食物浓度的优化涉及传统实验的多次迭代，既不节省时间又不划算。生物学家强烈希望通过替代理论方法解决这个问题。几何学和牛顿力学的基本概念应用于卤虫的尺寸分布sp. 以确定其获得最大成熟度时的食物浓度水平。我们还提供基于模拟的理论模型，这将有助于优化卤虫的食物浓度。我们得出结论，牛顿力学的增长加速和跳跃是这个优化游戏的关键调节器。