A New Discrete Mycorrhiza Optimization Nature-Inspired Algorithm

This paper presents the discrete version of Mycorrhiza Tree Optimization Algorithm (MTOA), using Lotka–Volterra Discrete Equation System (LVDES) formed by Predator–Prey, Cooperative and Competitive Models. The Mycorrhizal (DMOA) is a stochastic metaheuristic that integrates randomness in its search processes. These algorithms are inspired nature, specifically symbiosis between plant roots fungal network called Network (MN). communication performed chemical signals environmental conditions hazards, exchange resources, such as Carbon Dioxide (CO2) plants perform through photosynthesis to MN other seedlings or growing plants. provides water (H2O) nutrients may not be same species; therefore, colonization arid lands would have been possible without MN. In this work, we comparison with CEC-2013 mathematical functions MTOA DMOA conducting Hypothesis Tests obtain efficiency performance algorithms, but future research will also propose optimization experiments Neural Networks Fuzzy Systems verify which methods these better.