A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

Gone are the days of just blueprints, prototypes and calculations, as engineering now revolves around efficiency, speed and precision in a world where technology is rapidly changing. The world of ...

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...

Genetic algorithms (GAs) mimic natural selection to solve complex optimization problems across engineering, AI, and science. By evolving a population of solutions through selection, crossover, and ...

The course is designed to provide engineering students a view of optimization as a tool for engineering decision making. Students will be given a fundamental introduction to the optimization ...

A new technical paper titled “Advanced Chiplet Placement and Routing Optimization considering Signal Integrity” was published by researchers at KAIST. “This article addresses the critical challenges ...

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 new study. A ...

In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever ...

Modern optimization theory, algorithms, and applications in process engineering. Topics include the fundamentals of linear programming, integer programming, nonlinear programming, mixed-integer ...

Recent benchmark results show GPT-5.5 excels at coordinating tools for well-defined engineering tasks but still falters on extended, multi-step challenges. For civil and environmental engineers, ...