Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art
In recent years, there has been a growing research interest in integrating machine learning
techniques into meta-heuristics for solving combinatorial optimization problems. This …
techniques into meta-heuristics for solving combinatorial optimization problems. This …
A qualitative systematic review of metaheuristics applied to tension/compression spring design problem: Current situation, recommendations, and research direction
A Tzanetos, M Blondin - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
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 …
proposing a new algorithm is validating it on several benchmark functions and engineering …
Simulated annealing-based dynamic step shuffled frog leaping algorithm: Optimal performance design and feature selection
The shuffled frog leaping algorithm is a new optimization algorithm proposed to solve the
combinatorial optimization problem, which effectively combines the memetic algorithm …
combinatorial optimization problem, which effectively combines the memetic algorithm …
A novel improved whale optimization algorithm for optimization problems with multi-strategy and hybrid algorithm
H Deng, L Liu, J Fang, B Qu, Q Huang - Mathematics and Computers in …, 2023 - Elsevier
Whale optimization algorithm (WOA), as an advanced optimization algorithm with simple
structure, has been favored by various fields. However, there are some disadvantages of …
structure, has been favored by various fields. However, there are some disadvantages of …
Balancing collective exploration and exploitation in multi-agent and multi-robot systems: A review
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 …
complex dynamic tasks distributed in space. Their effectiveness in accomplishing these …
Solid particle erosion prediction in elbows based on machine learning and swarm intelligence algorithm
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 …
in directional change areas such as elbows. Accurate prediction of erosion is essential in the …
The hierarchic treatment of marine ecological information from spatial networks of benthic platforms
J Aguzzi, D Chatzievangelou, M Francescangeli… - Sensors, 2020 - mdpi.com
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 …
over wide spatial scales is of strategic importance for the improvement of our understanding …
Multilevel colonoscopy histopathology image segmentation using particle swarm optimization techniques
A Kanadath, JAA Jothi, S Urolagin - SN Computer Science, 2023 - Springer
Histopathology image segmentation is a challenging task in medical image processing. This
work aims to segment lesion regions from colonoscopy histopathology images. Initially, the …
work aims to segment lesion regions from colonoscopy histopathology images. Initially, the …
A systematic review on search‐based test suite reduction: State‐of‐the‐art, taxonomy, and future directions
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 …
testing that aims at ensuring that recent modifications have not adversely affected the …
Cuckoo coupled improved grey wolf algorithm for PID parameter tuning
K Chen, B Xiao, C Wang, X Liu, S Liang, X Zhang - Applied Sciences, 2023 - mdpi.com
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 …
used to maintain the system output near the set value. However, in some complex control …