The widespread use of mobile devices and compute-intensive applications has increased the connection of smart devices to networks, generating significant data. Real-time execution faces challenges due ...

Maritime transportation is increasingly being subjected to pressure to balance economic efficiency with environmental sustainability under regulatory frameworks such as global trade demands and the ...

Welcome to the Quantum Optimization Algorithms repository! This project contains implementations of various quantum optimization techniques designed for solving combinatorial optimization problems. By ...

Introduction: The development of science and technology has driven rapid changes in the social environment, especially the rise of the big data environment, which has greatly increased the speed at ...

Gradient Descent is an algorithm for minimizing loss functions that reduce the objective function by updating model parameters iteratively. The approach goes in the direction defined by the negative ...

Abstract: Robust multi-objective optimization problems (RMOPs) widely exist in real-world applications, which introduce a variety of uncertainty in optimization models. While some evolutionary ...

Abstract: The Horned Lizard Optimization Algorithm (HLOA) is widely applied in the field of solving optimization problems. However, this algorithm has the drawback of being prone to falling into local ...

It shows the schematic of the physics-informed neural network algorithm for pricing European options under the Heston model. ...