Developing an effective memetic algorithm that integrates the Particle Swarm Optimization
(PSO) algorithm and a local search method is a difficult task. The challenging issues include …

Due to the imbalanced and uncompleted characteristics of complex petrochemical small
datasets, it is a challenge to build an accurate prediction and optimization model of energy …

At present, a photovoltaic (PV) system takes responsibility to reduce the risk of global
warming and generate electricity. However, the PV system faces numerous problems to …

This brief proposes a novel chaotic fractional-order beetle swarm optimization (CFBSO)
algorithm that combines chaos concepts and a fractional derivative structure with the beetle …

Simulated annealing (SA) was recognized as an effective local search optimizer, and it
showed a great success in many real-world optimization problems. However, it has slow …

Short-term traffic flow forecasting plays an important role in current intelligent transportation
system. For most models, the selection of time lag is a crucial factor affecting the forecasting …

In bakery production, to perform a processing task there might be multiple alternative
machines that have the same functionalities. Finding an efficient production schedule is …

This paper endeavors to contribute to the field of optimal control via presenting an optimal
fuzzy Proportional Derivative (PD) controller for a RPP (Revolute‐Prismatic‐Prismatic) robot …

Although evident progress and considerable achievements have been attained in
developing a new particle swarm optimization (PSO) algorithm, successfully balancing the …

This paper proposes a general hierarchical dispatching strategy of mine water, with the aim
of addressing the problems of low reuse rate of coal mine water, and insufficient data …