Simulated annealing is a probabilistic metaheuristic inspired by the physical process of annealing in metallurgy, where controlled cooling enables a metal to reach a low-energy crystalline state. In ...
An Excel VBA implementation of the Simulated Annealing metaheuristic optimisation algorithm, built as a 2nd Year Industrial Engineering project at Stellenbosch University (2022). The Simulated ...
It was the summer of 2020, and researcher Walter Crist was wandering around the exhibits inside a Dutch museum dedicated to the presence of the ancient Roman empire in the Netherlands. As a scientist ...
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 ...
To overcome the constellation's evasive nature, China would need a swarm of hundreds of drones, a new study finds. Reading time 2 minutes A group of researchers in China may have found a way to ...
ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...
Abstract: In order to improve the evolution efficiency and species diversity of traditional genetic algorithm in solving TSP problems, a modified hybrid simulated annealing genetic algorithm 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 ...
Abstract: This work addresses the design problem of the fault detection observer (FDO) based on dynamic event-triggered mechanism for Markov jump systems under denial-of-service (DoS) attacks. The ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results