9 hours ago · We propose a population-based iterated greedy algorithm enhanced with Q-learning for a multi-weeding-robots operation scheduling problem.
Missing: Cellular | Show results with:Cellular
20 hours ago · Investigated a genetic algorithm-based multi-objective strategy to maximize energy usage, billing expenses, and trip time for multiple electric cars. As an ...
Missing: Cellular | Show results with:Cellular
17 hours ago · We are organizing this Special Issue to gather the latest research related to nature-inspired metaheuristic optimization algorithms and their applications.
Missing: Cellular | Show results with:Cellular
18 hours ago · By implementing a three-phase framework that includes data pre-processing, data balancing with CGAN, and classification using a stacked sparse denoising ...
Missing: Cellular | Show results with:Cellular
8 hours ago · The Bald Eagle Search (BES) algorithm is an innovative population-based method inspired by the intelligent hunting behavior of bald eagles.
Missing: Cellular | Show results with:Cellular
17 hours ago · This paper proposes a new optimization technique to make an integration between the Optimal Reactive Power Dispatch (ORPD) problem and Electric Vehicles ...
Missing: Three- Cellular
19 hours ago · By leveraging a multi-objective optimization approach, the framework aims to balance key performance indicators, such as link utilization, latency, power ...
17 hours ago · Implementation of Human Perception in Mobile Robots with Fuzzy. Logic for Collision Avoidance. By Bashra Kadhim Oleiwi, Asif Mahfuz & Hubert Roth.
Missing: Three- Cellular
17 hours ago · In recent years, Cooperative Adaptive Cruise Controls (CACCs) have been increasingly studied as a promising solution to problems such as traffic congestion and ...
Missing: Three- | Show results with:Three-
15 hours ago · For this, a hybrid methodology combining genetic algorithms and ML techniques is implemented to locate and evaluate stress patterns within these architectures.
Missing: Three- Cellular