Differential evolution with alternation between steady monopoly and transient competition of mutation strategies
C Ye, C Li, Y Li, Y Sun, W Yang, M Bai, X Zhu… - Swarm and Evolutionary …, 2023 - Elsevier
Real parameter single objective optimization has been studied for decades. In recent, long-
term search is emphasized based on the consideration that, in the field, solving difficulty …
term search is emphasized based on the consideration that, in the field, solving difficulty …
Improving differential evolution using a best discarded vector selection strategy
Z Zeng, Z Hong, H Zhang, M Zhang, C Chen - Information Sciences, 2022 - Elsevier
In this study, a selection strategy based on discarded trial vectors was constructed to
improve the performance of the differential evolution (DE) algorithm. The proposed strategy …
improve the performance of the differential evolution (DE) algorithm. The proposed strategy …
A proportional, integral and derivative differential evolution algorithm for global optimization
R Jiang, R Shankaran, S Wang, T Chao - Expert Systems with Applications, 2022 - Elsevier
The proportional, integral, and derivative differential evolution algorithm (PID-DE) is
proposed as a new type of interdisciplinary metaheuristic evolutionary algorithm in this …
proposed as a new type of interdisciplinary metaheuristic evolutionary algorithm in this …
Edoa: An elastic deformation optimization algorithm
Q Pan, J Tang, S Lao - Applied Intelligence, 2022 - Springer
In recent years, a large number of meta-heuristic algorithms have been proposed to
efficiently solve various complex optimization problems in reality. Most of these algorithms …
efficiently solve various complex optimization problems in reality. Most of these algorithms …
[HTML][HTML] An improved adaptive differential evolution algorithm for single unmanned aerial vehicle multitasking
J Su, H Wang - Defence Technology, 2021 - Elsevier
Single unmanned aerial vehicle (UAV) multitasking plays an important role in multiple UAVs
cooperative control, which is as well as the most complicated and hardest part. This paper …
cooperative control, which is as well as the most complicated and hardest part. This paper …
Hybrid arithmetic optimization algorithm for a new multi-warehouse joint replenishment and delivery problem under trade credit
Trade credit is a significant form of short-term financing in the real business situation. This
study proposes a practical multi-warehouse joint replenishment and delivery (MJRD) …
study proposes a practical multi-warehouse joint replenishment and delivery (MJRD) …
Differential evolution with migration mechanism and information reutilization for global optimization
Q Yang, S Yuan, H Gao, W Zhang - Expert Systems with Applications, 2024 - Elsevier
Differential evolution (DE) is an efficacious global optimization algorithm, and many variants
have been advanced since its inception. During the iterative search process, any individual …
have been advanced since its inception. During the iterative search process, any individual …
Differential evolution with variable leader-adjoint populations
Y Li, S Wang, H Yang, H Chen - Applied Intelligence, 2023 - Springer
The performance of differential evolution (DE) is significantly affected by the selection of
mutation strategies and control parameters. Inappropriate selection may lead to premature …
mutation strategies and control parameters. Inappropriate selection may lead to premature …
Overall Dynamic Optimization of Metal Mine Technical Indicators Considering Spatial Distribution of Ore Grade Using AADE
X Wang, Y Tan, L Yang - IEEE Access, 2022 - ieeexplore.ieee.org
In optimizing the production of a metal mine, either the overall dynamic relations between
technical indicators or the spatial distribution of the ore grade are usually considered, but …
technical indicators or the spatial distribution of the ore grade are usually considered, but …
[PDF][PDF] On-orbit service mission optimization for geosynchronous satellites based on metaheuristic algorithms
J Ruiye - 2022 - figshare.mq.edu.au
This thesis proposes a comprehensive and efficient on-orbit service (OOS) project design
scheme. The multi-objective optimization of the optimal selection of mission objects, mission …
scheme. The multi-objective optimization of the optimal selection of mission objects, mission …