ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

Genetic Algorithms are widely used as global optimization solvers for complex and non-convex problems in industrial applications (resource and load planning, workshop logistics, process control, etc.) ...

The consortium running the European Space Agency's (ESA) Euclid mission has published the most extensive simulation of the cosmos to date. The modeling was based on algorithms developed by UZH ...

ABSTRACT: This research investigates the impact of the road network topological structure on facility location modeling. We create four types of road networks, i.e., the radial, the grid, the ring, ...

Binary neutron star mergers, cosmic collisions between two very dense stellar remnants made up predominantly of neutrons, have been the topic of numerous astrophysics studies due to their fascinating ...

In order to enhance the inertia situational awareness and stability of the power system in the context of the reduction of power system inertia and the challenge of frequency stability due to the high ...

The Njord Centre, Department of Physics, University of Oslo, Sem Sælands vei 24, NO-0316 Oslo, Norway ...

This project simulates and optimizes traffic flow at a four-way intersection, employing Petri nets (Java) for simulation and a genetic algorithm (Java) to determine optimal traffic light phase ...

1 School of Information and Intelligent Engineering, Nantong College of Science and Technology, Nantong, China 2 Faculty of Social, Business and Computer Sciences, Varna Free University, Varna, ...