Titlebook: Advanced Intelligent Computing Technology and Applications; 20th International C De-Shuang Huang,Xiankun Zhang,Wei Chen Conference proceedi

faucet

reception

窝转脊椎动物

Cocker

Evolving Scheduling Heuristics for Energy-Efficient Dynamic Workflow Scheduling in Cloud via Geneticynamic workflow scheduling, dependency constraints between tasks and high quality of service requirements, such as real-time requirements and deadline constraints, make it very challenging. This paper focuses on the energy-efficient scheduling problem, which jointly considers the impact of finer-gra

现代

CON

A Double Deep Q Network Guided Online Learning Differential Evolution Algorithmems. First, a neural network model maintained by a double deep Q network algorithm is introduced to select the proper parameter adaptation method and control the mutation and crossover of the population. The history information generated by the search process is collected as the training data of the

AROMA

Attention Dual Adversarial Remote Sensing Image Semantic Segmentationdversarial network cannot be effectively used to assist segmentation network training, which limits the further improvement of semantic segmentation accuracy. To this end, this paper first introduces a dual confrontation network, and plays a three-way game with the generator to make the network conv

能量守恒

allergy

confederacy

Grundlagen der Gründungsfinanzierungegy enhances the information exchange between fireworks and improves the convergence performance of the algorithm. Tests were conducted on the CEC2017 benchmark suite, and the experimental results show that DHFWA significantly outperforms previous fireworks algorithms.