The simulation hypothesis: Mathematical framework redefines what it means for one universe to simulate another

The simulation hypothesis—the idea that our universe might be an artificial construct running on some advanced alien computer ...

Research Reveals the Optimal Way to Optimize

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...
GitHub

Hierarchical Patch Based Transformer with Learnable Weighted Loss Optimization for Multivariate Time Series Forecasting (HPBTF)

Forecasting, a fundamental task in machine learning, involves predicting future values of a time series based on its historical behavior. This paper introduces a novel Hierarchical Patch Based ...
IEEE

A Surrogate-Assisted Expensive Constrained Multi-Objective Optimization Algorithm Based on Adaptive Switching of Acquisition Functions

Abstract: Expensive constrained multi-objective optimization problems (ECMOPs) present a significant challenge to surrogate-assisted evolutionary algorithms (SAEAs) in effectively balancing ...
IEEE

An Evolutional Topology Optimization Method Based on Kernel Level Set Function

Abstract: Topology optimizations involving evolutionary algorithms are promising approaches to solve practical engineering design problems, since their use of derivation-free algorithms makes them ...