Annealing is a metallurgical process: heat metal to a high temperature, then cool it slowly. At high temperatures, atoms have enough thermal energy to escape local arrangements and explore many ...

Optimisation is important in all branches of engineering due to limited available resources. By optimising processes, maximum usage can be achieved. Finding an optimal solution for certain problems ...

Simulated Annealing algorithm has been extensively used for many applications from computer science to biology. This algorithm is a random-search method in which the new solutions, generated according ...

Abstract: This paper presents an improved simulated annealing algorithm based on heat transfer model. By introducing the heat transfer model, a new temperature updating formula is derived. The ...

This project focuses on enhancing the dual annealing optimization algorithm implemented in the SciPy library. The algorithm resembels of a memetic climbing algorithm, and implemented in Python is ...

Personalized cancer treatment requires precise scheduling of multiple therapeutic agents under biological constraints. Optimizing such regimens is especially challenging due to the nonlinear dynamics ...

Dr. James McCaffrey of Microsoft Research explains a new idea that slightly modifies standard simulated annealing by borrowing ideas from quantum mechanics. The goal of a combinatorial optimization ...

Abstract: Electric vehicle distribution has short mileage, strong time dependence, and is more vulnerable to road congestion in urban road networks. In order to solve the problem of high distribution ...

From fundamental sciences to economics and industry, discrete optimization problems are ubiquitous. Yet, their complexity often renders exact solutions intractable, necessitating the use of ...

Quantum technologies have long been pitched as a way to fundamentally change the way drugs are discovered; to start putting the theory to the test, researchers from pharmaceutical company ...