Precise and reliable modelling of solid oxide fuel cells (SOFC) is critical for simulation
analysis and optimal control of SOFC systems, which typically relies on an accurate …

Complex continuous optimization problems widely exist nowadays due to the fast
development of the economy and society. Moreover, the technologies like Internet of things …

Large-scale optimization problems (LSOPs) have drawn researchers' increasing attention
since their resemblance to real-world problems. However, due to the complex search space …

Ship position prediction is the key to inland river and sea navigation warning. Maritime traffic
control centers, according to ship position monitoring, ship position prediction and early …

Multi-area economic dispatch (MAED) is an important non-linear optimization problem in
power system operation. MAED involves multiple power generation areas, and minimizes …

Large-scale optimization problems (LSOPs) become increasingly ubiquitous but
complicated in real-world scenarios. Confronted with such sophisticated optimization …

In high dimensional environment, the interaction among particles significantly affects their
movements in searching the vast solution space and thus plays a vital role in assisting …

Abstract Social Learning Particle Swarm Optimization (SL-PSO) greatly improves the
optimization performance of PSO. In solving complex optimization problems, however, it still …

The traditional particle swarm optimization algorithm learns from the two best experiences:
the best position previously learned by the particle itself and the best position learned by the …

Optimisation problems containing huge total of decision variables are termed as large scale
global optimisation problems which are often considered as abundant challenges to the …