CHAMB-GA: A Containerized HPC Scalable Microservice-Based Framework for Genetic Algorithms (opens in new tab)
Metaheuristic-based global optimization with embedded, long-running simulations is a computationally expensive process. To support various stages of development and execution, a seamless transition from personal computers to distributed clusters is desired, enabling execution across all computational scales. However, existing tool chains are often characterized by rigidity and hardware-bound constraints, which impede scalability and the integrat...
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