IEEE

Optimal Beamforming Structure and Efficient Optimization Algorithms for Generalized Multi-Group Multicast Beamforming Optimization

Abstract: In this work, we focus on solving non-smooth non-convex maximization problems in multi-group multicast transmission. By leveraging Karush-Kuhn-Tucker (KKT) optimality conditions, we ...
Nature

Approximation Algorithms for the Traveling Salesman Problem

The travelling salesman problem (TSP) remains one of the most challenging NP‐hard problems in combinatorial optimisation, with significant implications for logistics, network design and route planning ...
IEEE

Enhanced ANN-Based MPPT for Photovoltaic Systems: Integrating Metaheuristic and Analytical Algorithms for Optimal Performance Under Partial Shading

Abstract: The efficiency of photovoltaic (PV) systems significantly decreases under partial shading conditions (PSC), leading to challenges in accurately tracking the maximum power point (MPP). This ...
GitHub

urban-science

Hot Hẻm: Routing tool not for the fastest nor the coolest path, but the hottest path. A downscaled case study in Sài Gòn, Việt Nam (Hồ Chí Minh City / HCMC) districts 1, 2, and 8.