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 ...
Frontiers

Spectrum optimization of dynamic networks for reduction of vulnerability against adversarial resonance attacks

1 Department of Mechanical Engineering and Mechanics, Lehigh University, Bethlehem, PA, United States 2 Department of Electrical and Computer Engineering, Lehigh University, Bethlehem, PA, United ...
earth

AI algorithms can increase ocean plastic cleanup efficiency

Plastic waste has woven itself into the fabric of our oceans, threatening marine life, disrupting ecosystems, and impacting global economies. For decades, attempts to solve this crisis struggled with ...
Frontiers

Smart material optimization using reinforcement learning in multi-dimensional self-assembly

Introduction: In recent years the design and optimization of smart materials have gained considerable attention due to their potential applications across diverse fields, from biomedical engineering ...
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 ...