Authors : Nandakrishnan A.; Dr. Pramod K.

Volume/Issue : Volume 11 - 2026, Issue 3 - March

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Google Scholar : https://tinyurl.com/537kvdn9

Scribd : https://tinyurl.com/yc684r8p

DOI : https://doi.org/10.38124/ijisrt/26mar197

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

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Abstract : Real-time simulation systems require physics engines that can function within strict timing limits even as object counts and constraint interactions increase. Conventional sequential solvers that rely on fixed iteration settings often struggle to preserve frame consistency in complex scenes. This study introduces the Hybrid Adaptive Island-Based Optimization Framework (HAIF), which integrates constraint graph decomposition with time-aware iteration adjustment. Independent groups of constraints are executed concurrently across available processing cores, while solver effort is dynamically regulated to remain within the allocated frame budget. The framework enhances computational scalability while sustaining stable and visually consistent real-time behaviour.

Keywords : Real-Time Physics, Island-Based Parallelism, Constraint Solving, Linear Complementarity Problem, Adaptive Iteration Control, Multi-Core Optimization.

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