Tech Xplore

Researchers discover a smarter way to solve vehicle routing problems using adaptive swarm learning

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
AHA/ASA Journals

Association Between Neighborhood Opportunity With Exercise-Related Cardiac Symptoms and ECG Abnormalities in US Youth Athletes

BACKGROUND: Sudden cardiac arrest disproportionately affects youths from lower socioeconomic neighborhoods, yet the ...
IEEE

A Surrogate-Assisted Evolutionary Framework for Expensive Multitask Optimization Problems

Abstract: This article proposes a surrogate-assisted evolutionary framework (called SELF) to solve expensive multitask optimization problems (ExMTOPs). SELF consists of two main phases: 1) global ...
IEEE

Constrained Evolutionary Bayesian Optimization for Expensive Constrained Optimization Problems With Inequality Constraints

Abstract: This article proposes a constrained evolutionary Bayesian optimization (CEBO) algorithm to cope with expensive constrained optimization problems with inequality constraints. The uniqueness ...