Maximizing chitin and chitosan recovery yields from fusarium verticillioides using a many-factors-at-a-time approach
The extraction of chitin and chitosan presents challenges due to the complexity of the
process and the influence of many variables. This study aimed to optimize chitin and …
process and the influence of many variables. This study aimed to optimize chitin and …
[HTML][HTML] A many objective commercial recommendation algorithm via Game-Based core node extraction
Y Sun, Y Cao, S Cheng, J Yang, W Shi, A Zhang… - Egyptian Informatics …, 2023 - Elsevier
The development of the recommendation system (RS) has been focused on improving the
accuracy of algorithms. As the number of new users grows, RS suffers from the cold start …
accuracy of algorithms. As the number of new users grows, RS suffers from the cold start …
Multi-Objective Optimization Problem With Hardly Dominated Boundaries: Benchmark, Analysis, and Indicator-Based Algorithm
The hardly dominated boundary (HDB) is commonly observed in multi-objective optimization
problems (HDBMOPs). However, there are only a few benchmark problems related to HDB …
problems (HDBMOPs). However, there are only a few benchmark problems related to HDB …
Multi-objective evolutionary algorithm with evolutionary-status-driven environmental selection
The hardly dominated boundary (HDB) is a common feature of multi-objective optimization
problems (MOPs). Previous studies have proposed several multi-objective evolutionary …
problems (MOPs). Previous studies have proposed several multi-objective evolutionary …
Exact Calculation and Properties of the R2 Multiobjective Quality Indicator
A Jaszkiewicz, P Zielniewicz - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Quality indicators play an essential role in evolutionary multiobjective optimization (EMO).
Most likely the most often used quality indicator in EMO is hypervolume, due to its strict …
Most likely the most often used quality indicator in EMO is hypervolume, due to its strict …
A Surrogate-Assisted Multi-objective Evolutionary Algorithm Guided by Hybrid Reference Points
S Li, Y Zhang, Q Wang, L He, H Li, B Ye - International Conference on …, 2024 - Springer
Surrogate-assisted multi-objective evolutionary algorithms show excellent performance in
solving expensive multi-objective optimization problems, but most of them do not work well …
solving expensive multi-objective optimization problems, but most of them do not work well …
Risk-aware hierarchical planning for smart non-residential buildings
C Hohmann - 2023 - elib.uni-stuttgart.de
Smart buildings are a multidisciplinary topic that has attracted interest in recent years.
Research often focuses on smart homes, with little attention paid to other building …
Research often focuses on smart homes, with little attention paid to other building …