Abstract: Genetic programming approaches have previously been employed in the literature to evolve heuristics for various combinatorial optimisation problems. This paper presents a hyper-heuristic ...

Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...

Abstract: Over the past few years, many researchers around the world have been keen to know the potential and efficiency of quantum computers. The researchers have focused on specific issues that ...

EO is a template-based, ANSI-C++ evolutionary computation library which helps you to write your own stochastic optimization algorithms insanely fast. Evolutionary algorithms forms a family of ...

From analog hobbies to tech curfews, these Gen Zers are experimenting with science-backed ways to help their brains feel a little less foggy. Doomscrolling has taken over our screen time, and ...

The manufacturing sector grapples with persistent challenges marked by inefficiencies, production errors, and the burden of costly machine maintenance. These issues, rooted in manual processes, human ...

Finding bipartite matchings is one of the oldest and most well-studied problems in computer science. This problem comes up in many guises, such as when matching donors to recipients for organ ...

In today's fast-paced world of science and technology, companies are engaged in fierce competition, and a company's competitiveness is often directly linked to the efficiency and quality of its ...

The vehicle scheduling problem (VSP) is one of the most important scheduling problems in public transportation systems 1, such as flight departure and arrival 2, airport ground service support 3, and ...

Industrial and economic development primarily occurs in densely populated urban areas in Taiwan. The outbreak of war in such areas could have severe consequences. Disaster relief and homeland defense ...

Two-dimensional (2D) irregular packing problems are widespread in manufacturing industries such as shipbuilding, metalworking, automotive production, aerospace, clothing and furniture manufacturing.