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Learning-Aided Evolutionary Algorithm to Solve Energy-Efficient Dynamic Task Scheduling Problems

Year: 2025

Type: conference-paper

Source: IEEE Congress on Evolutionary Computation (CEC)

DOI: 10.1109/cec65147.2025.11043016

Authors: Hao Shi, HaoRan Zhou, ZhiWen Miao, ChengRan Lin

Institutions: Beijing University of Chemical Technology, Harbin Institute of Technology

Language: English

Topic: Scheduling and Optimization Algorithms

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, State Key Laboratory of Robotics

OpenAlex ID: W4411600271

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Cites: 28

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Related to: 10