Zhi‐Hui Zhan

Load balance aware distributed differential evolution for computationally expensive optimization problems

2017 · Proceedings of the Genetic and Evolutionary Computation Conference Companion

Computationally expensive problem challenges the application of evolutionary algorithms (EAs) due to the long runtime. Distributed EAs on distributed resources for calculating the individual fitness value in paralllel is a promising method to reduce runtime. …

Investigation and Improvement of Distributed Differential Evolution Algorithm Cloudde

2021

As a kind of new emerging optimization technology, distributed evolutionary computation (DEC) algorithms have fast developed in recent years. The DEC algorithms, which make use of multiple computers or resources to enhance the optimization capabilities …

Optimizing Niche Center for Multimodal Optimization Problems

2021 · IEEE Transactions on Cybernetics

Many real-world optimization problems require searching for multiple optimal solutions simultaneously, which are called multimodal optimization problems (MMOPs). For MMOPs, the algorithm is required both to enlarge population diversity for locating more global optima and …

Evolutionary Dynamic Database Partitioning Optimization for Privacy and Utility

2023 · IEEE Transactions on Dependable and Secure Computing

Distributed database system (DDBS) technology has shown its advantages with respect to query processing efficiency, scalability, and reliability. Moreover, by partitioning attributes of sensitive associations into different fragments, DDBSs can be used to protect data …

Multisource Knowledge Fusion Based on Graph Attention Networks for Many-Task Optimization

2024 · IEEE Transactions on Evolutionary Computation

Although knowledge transfer methods are developed for many-task optimization problems, they tend to utilize solutions from a single task for knowledge transfer. Indeed, there are usually multiple relevant source tasks with commonality. Multisource data fusion …