These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

A team of researchers from the Shanghai Institute of Applied Physics, Chinese Academy of Sciences, has developed an ...

This study from MIT explores eye evolution through AI simulations, uncovering how different tasks shape visual systems and ...

ABSTRACT: This note examines the utility of pseudorandom variables (prv) in Global Search and Optimization (GSO) using Central Force Optimization (CFO) as an example. Most GSO metaheuristics are ...

Abstract: Evolutionary multi-task optimization is an emerging research topic in the field of evolutionary computation. It aims to achieve simultaneous optimization of different tasks by dynamically ...

The challenge of resource allocation for UAV swarms in dynamic and uncertain electromagnetic environments has been investigated for years. In a recent breakthrough published in the Chinese Journal of ...

Abstract: This article proposes a novel constrained multiobjective evolutionary Bayesian optimization algorithm based on decomposition (named CMOEBO/D) for expensive constrained multiobjective ...