Abstract: Solving constrained multi-objective optimization problems (CMOPs) is a challenging task due to the presence of multiple conflicting objectives and intricate constraints. In order to better ...

Cutting SaaS licenses may save money fast, but without clear ownership and process, you’ll just trade spend for chaos. When I was brought into a large digital transformation program as a subject ...

Through the looking glass: In a field increasingly defined by quantum experiments and exotic materials, a physics team at Queen's University in Canada has shown that innovation can also come from the ...

Optimization problems often involve situations in which the user's goal is to minimize and/or maximize not a single objective function, but several, usually conflicting, functions simultaneously. Such ...

EditPad Lite is a free text editor with syntax highlighting for programming. Supports multiple languages, lightweight interface. EditPad Lite is a fast, lightweight, and highly efficient text editor ...

This is the official implementation of our ICLR 2025 paper "UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP". Fig 1. The 3-step workflow of the UniCO ...

Palo Alto, California-based D-Wave Quantum Inc. claims to be the first company that sells computers that leverage quantum effects in their operation. The company recently demonstrated how its quantum ...

Abstract: Electromagnetic optimization problems involve the fine-tuning of electromagnetic systems across various domains. Solving electromagnetic optimization problems is crucial for advancements in ...

The problem of vibration control with artificial structures has been an important issue in aerospace [1,2], vehicle design [3], civil engineering [4], and vibration pollution [5]. The suppression, ...

A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a study led by ...