Abstract The Artificial Fish Swarm Algorithm (AFSA) is inspired by the ecological behaviors
of fish schooling in nature, viz., the preying, swarming and following behaviors. Owing to a …

Energy management methods (EMMs) utilizing sensing, communication, and networking
technologies appear to be one of the most promising directions for energy saving and …

This paper presents Outranking-based Particle Swarm Optimisation (O-PSO) a novel
metaheuristic to address the multi-objective Unrelated Parallel Machine Scheduling …

Radar signal sorting is the core part of electronic support measures, which is responsible for
deinterleaving the overlapping pulse sequences received by the receiver from the complex …

Bus transport has been an important mode taking up a significant share of urban travel
demand and thus the corresponding impacts on the environment are of great concerns. Use …

Great concerns have been raised on the driving cycle due to its critical importance in vehicle
design, energy management strategy, and energy consumption forecast of new energy …

This paper presents a comprehensive approach for optimal charge scheduling and on-
board vehicular control of electrified fleets based on synthetic driving cycles. The proposed …

Standard energy-consumption testing, providing the only publicly available quantifiable
measure of battery electric vehicle (BEV) energy consumption, is crucial for promoting …

Aiming at the problem that extended Kalman filter (EKF) is difficult to determine the
appropriate system and measurement noise matrices in parameter identification of direct …

A novel vehicle rollover warning algorithm based on support vector machine (SVM)
empirical model is proposed to improve the real-time of un-tripped rollover warning …