Plant Growth Simulation Algorithm for Minimum Power Loss Optimization

This document introduces the "Plant Growth Simulation Algorithm for Minimum Power Loss Values." To better understand this concept, we can explore how this algorithm optimizes energy transmission systems. The implementation mimics plant growth patterns through iterative branching processes, where each branch represents a potential solution in the search space. Key algorithmic components include photosynthesis-inspired energy absorption functions and root expansion mechanisms that systematically explore parameter combinations. During optimization, the algorithm simulates growth cycles where "branches" with lower power loss values receive more computational resources (simulating nutrients), while less efficient branches are pruned. This approach enables identification of optimal power loss values under varying environmental constraints through parameter adjustments in the fitness function. The algorithm's advantage lies in its ability to handle non-linear constraints and multi-modal optimization landscapes using growth probability distributions and tropism operators. As such, it serves as a valuable tool for energy management and sustainable development applications, particularly in smart grid configurations where system parameters dynamically change.