Differential Evolution: A review of more than two decades of research
Since its inception in 1995, Differential Evolution (DE) has emerged as one of the most
frequently used algorithms for solving complex optimization problems. Its flexibility and …
frequently used algorithms for solving complex optimization problems. Its flexibility and …
An efficient fitness-based differential evolution algorithm and a constraint handling technique for dynamic economic emission dispatch
X Shen, D Zou, N Duan, Q Zhang - Energy, 2019 - Elsevier
In this paper, an efficient fitness-based differential evolution (EFDE) algorithm and a
constraint handling technique for dynamic economic emission dispatch (DEED) are …
constraint handling technique for dynamic economic emission dispatch (DEED) are …
Differential evolution algorithms for scheduling raw milk transportation
This paper focuses on determining routes for raw milk collection from collection centers to
dairy factories with the objective of minimizing the total costs, considering fuel costs and …
dairy factories with the objective of minimizing the total costs, considering fuel costs and …
Prediction of the ultimate tensile strength (UTS) of asymmetric friction stir welding using ensemble machine learning methods
This research aims to develop ensemble machine-learning methods for forecasting the
ultimate tensile strength (UTS) of friction stir welding (FSW). The substance utilized in the …
ultimate tensile strength (UTS) of friction stir welding (FSW). The substance utilized in the …
Dynamic evolutionary multiobjective optimization for open-order coil allocation in the steel industry
F Zou, Q Guo, GG Yen - Applied Soft Computing, 2023 - Elsevier
In terms of improving coil resource utilization and customer satisfaction, most steel
companies are still far behind in these quality objectives and need significant improvements …
companies are still far behind in these quality objectives and need significant improvements …
A constrained cooperative adaptive multi-population differential evolutionary algorithm for economic load dispatch problems
Many engineering optimization problems are characterized by large scale and complex
constraints. High optimization efficiency and reliable constraint handling are two major …
constraints. High optimization efficiency and reliable constraint handling are two major …
Hybrid differential evolution and particle swarm optimization for Multi-visit and Multi-period workforce scheduling and routing problems
This research proposed an optimization method (Hybrid Differential Evolution and Particle
Swarm Optimization, HDEPSO) using a solution technique based on two well-known …
Swarm Optimization, HDEPSO) using a solution technique based on two well-known …
[HTML][HTML] A novel enhanced differential evolution algorithm for outbound logistics of the poultry industry in Thailand
Outbound logistics is a crucial field of logistics management. This study considers a
planning distribution for the poultry industry in Thailand. The goal of the study is to minimize …
planning distribution for the poultry industry in Thailand. The goal of the study is to minimize …
Hierarchical multi-UAVs task assignment based on dominance rough sets
H Jiang, G Wang, Q Liu, P Gao, X Huang - Applied Soft Computing, 2023 - Elsevier
The task assignment of multi-UAVs is important to realize the effective cooperation and
enhance the comprehensive performance of multi-UAVs. Heuristic algorithms have become …
enhance the comprehensive performance of multi-UAVs. Heuristic algorithms have become …
A probability guided evolutionary algorithm for multi-objective green express cabinet assignment in urban last-mile logistics
S Ji, R Luo, X Peng - International Journal of Production Research, 2019 - Taylor & Francis
In the past decade, urban last-mile logistics (ULML) has attracted increasing attention with
the growth of e-commerce. Under this background, express cabinet has been gradually …
the growth of e-commerce. Under this background, express cabinet has been gradually …