Liming Sun

TL;DR: A novel bio-inspired optimization method developed by extending the original salp swarm algorithm with multiple independent salp chains, thus it can implement a wider exploration and a deeper exploitation under the memetic computing framework.

TL;DR: This paper aims to undertake a comprehensive review on meta-heuristic algorithms and related variants which have been applied on PV cell parameter identification and presents some perspectives and recommendations for future development.

TL;DR: A comprehensive review on state-of-the-art maximum power point tracking methods of photovoltaic (PV) systems under partial shading condition (PSC) in which a total of 62 MPPT algorithms are elaborated, together with their modifications.

TL;DR: A novel memetic reinforcement learning (MRL) based MPPT scheme for photovoltaic systems under partial shading condition (PSC) and a virtual population is used for the global information exchange between different agents, such that the learning rate can be dramatically accelerated.

TL;DR: A comprehensive survey on state-of-the-art meta-heuristic algorithms and related variants utilized in SOFC parameter identification, upon which more reliable and efficient approaches can be devised for better simulation analysis and optimal control of SOFC systems.