Why Sakana AI’s big win is a big deal for the future of enterprise agents

By leveraging inference-time scaling and a novel "reflection" mechanism, ALE-Agent solves the context-drift problems that ...
IEEE

Evolutionary Dynamic Multiobjective Optimization With Learning Across Problems

Abstract: dynamic multiobjective optimization (DMO) problems are prevalent in many practical applications and have garnered significant attention from both industry and academia, leading to the ...
IEEE

Reliable Solution to Dynamic Optimization Problems Using Integrated Residual Regularized Direct Collocation

Abstract: Direct collocation (DC) is a widely used method for solving dynamic optimization problems (DOPs), but its implementation simplicity and computational efficiency are limited for challenging ...
The Harvard Crimson

Harvard Has an Optimization Epidemic

Heidi S. Enger ’27, an Associate Editorial Editor, is a Social Studies Concentrator in Eliot House. She’s enrolled in Ec10b this semester (don’t ask). Harvard students have to stop treating life like ...