New Variants of the Multi-Verse Optimizer Algorithm Adapting Chaos Theory in Benchmark Optimization

In this work, we present multiple variations of the Multi-verse Optimizer Algorithm (MVO) using chaotic maps, it in formation new solutions. these MVO algorithm, which call Fuzzy-Chaotic (FCMVO), use maps used literature to substitute some parameters for original algorithm a random value universes or To implement chaos theory on variants, also Fuzzy Logic dynamic parameter adaptation; first tests are performed only and then merge each cases analyze improvement over MVO. Subsequently, best-performing set variants same cases; after results, observe behavior different cases. The objective study is compare whether there significant conjunction with benchmark mathematical functions prior moving other case studies.