Gorilla Troops and the Traveling Salesman Problem: A Bio-Inspired Optimization Approach This study introduces a gorilla-inspired metaheuristic algorithm to solve the Traveling Salesman Problem (TSP). By modeling exploration, migration, and leadership dynamics observed in gorilla troops, the method balances global search and local exploitation. visit:  aidatascientits.com Nominate:  https://aidatascientists.com/ award-nomination/?ecategory= Awards&rcategory=Awardee Contact:  support@aidatascientists.com #worldresearchawards #researchawards #AcademicAwards #ScienceAwards #ArtificialIntelligence #TravelingSalesmanProblem #Metaheuristics #OptimizationTheory

 Unconditionally Stable Gradient Flows via Hyperbolic Tangent SAV Schemes This work develops an unconditionally energy-stable numerical scheme for gradient flow models using a hyperbolic tangent–based Scalar Auxiliary Variable (SAV) reformulation. Through variational principles, functional analysis, and time-discretization techniques, the method ensures unconditional stability and high accuracy. visit:  aidatascientits.com Nominate:  https://aidatascientists.com/ award-nomination/?ecategory= Awards&rcategory=Awardee Contact:  support@aidatascientists.com #worldresearchawards #researchawards #AcademicAwards #ScienceAwards #ArtificialIntelligence #GradientFlows #SAVMethod #NumericalAnalysis  #ScientificComputing #PhaseFieldModels