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

Black-Box Optimization of the Storage Location Assignment Problem in Logistics Centers Using an Annealing Algorithm

Abstract: The manufacturing industry encounters numerous optimization problems, one of which is the optimization of storage location assignment (OSLA) problem in logistics. OSLA is a combinatorial ...
Scientific Research Publishing

Montoya, C., Bellenguez-Morineau, O., Pinson, E. and Rivreau, D. (2013) Branch-and-Price Approach for the Multi-Skill Project Scheduling Problem. Optimization Letters, 8, 1721 ...

ABSTRACT: For solving assignment problems of staff, equipment and task in engineering support action, a 3-Dimensional assignment model is established, which contains staff skill level, equipment ...
Frontiers

CLMOAS: collaborative large-scale multi-objective optimization algorithms with adaptive strategies

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...
Frontiers

Robust multi-objective optimization framework for performance-based seismic design of steel frame with energy dissipation system

1 Guangzhou Institute of Building Science Group Co., Ltd., Guangzhou, Guangdong, China 2 Glenn Department of Civil Engineering, Clemson University, Clemson, SC, United States Modern seismic codes ...
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 ...
IEEE

Robust Neural Dynamics for Distributed Time-Varying Optimization With Application to Multi-Robot Systems

Abstract: This paper develops a robust neural dynamics method for the distributed time-varying optimization problem with time-varying constraints. First, instead of assuming the objective functions ...