Client programs using CHOMax follow platform-defined workflows and phase-appropriate practices across the development lifecycle.

Abstract: A simulation-driven surrogate parallel improved adaptive genetic algorithm (SDS-IAGA) method is proposed. This method aims to improve the efficiency of topology optimization for the ...

Abstract: Learning policies in an asynchronous parallel way is essential to numerous successes of reinforcement learning for solving complex problems. However, their convergence has not been ...