In recent years, there has been a growing research interest in integrating machine learning
techniques into meta-heuristics for solving combinatorial optimization problems. This …

New metaheuristic algorithms have soared over the past ten years. A common practice in
proposing a new algorithm is validating it on several benchmark functions and engineering …

The shuffled frog leaping algorithm is a new optimization algorithm proposed to solve the
combinatorial optimization problem, which effectively combines the memetic algorithm …

Whale optimization algorithm (WOA), as an advanced optimization algorithm with simple
structure, has been favored by various fields. However, there are some disadvantages of …

Multi-agent systems and multi-robot systems have been recognized as unique solutions to
complex dynamic tasks distributed in space. Their effectiveness in accomplishing these …

Continuous impact of solid particles causes severe pipeline wear, and may result in leakage
in directional change areas such as elbows. Accurate prediction of erosion is essential in the …

Measuring biodiversity simultaneously in different locations, at different temporal scales, and
over wide spatial scales is of strategic importance for the improvement of our understanding …

Histopathology image segmentation is a challenging task in medical image processing. This
work aims to segment lesion regions from colonoscopy histopathology images. Initially, the …

Regression testing remains a promising research area for the last few decades. It is a type of
testing that aims at ensuring that recent modifications have not adversely affected the …

In today's automation control systems, the PID controller, as a core technology, is widely
used to maintain the system output near the set value. However, in some complex control …