With Optilogic's AI-first supply chain design platform, Amazon plans to keep accelerating delivery speed while exploring advanced transportation scenarios and supporting data-driven decision-making at ...

Sehore, Feb. 17 -- day International Workshop titled "Numerical & Optimization Techniques for Machine Learning in Real-World Applications" from 11th to 13th February 2026, in online mode.

Breakthrough optimization results advance fairness and transparency in global competition scheduling ST. LOUIS, MO, ...

Deep within the source code of this online multiplayer game lies an enigmatic number that puzzles and inspires experts to this day ...

PECOTA still kind of likes them ...

Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...

The TensorFlow Model Optimization Toolkit is a suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution. Supported techniques ...

300+ open source evolutionary algorithms 600+ open source benchmark problems Powerful GUI for performing experiments in parallel Generating results in the format of Excel or LaTeX table by one-click ...

Self-efficacy is an integral part of personal factors that contributes substantially to students' success in mathematics. This review draws on previous intervention studies to identify, describe, and ...

Abstract: In this paper, we propose a framework to accelerate the computational efficiency of evolutionary algorithms on large-scale multiobjective optimization. The main idea is to track the Pareto ...

Abstract: Multitask optimization aims to solve two or more optimization tasks simultaneously by leveraging intertask knowledge transfer. However, as the number of tasks increases to the extent of many ...