Multi-objective Flexible Job Shop Scheduling Problem with transportation constraint solved with NSGA-II, VNS and improved initialisation
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Updated
Aug 7, 2024 - Python
Multi-objective Flexible Job Shop Scheduling Problem with transportation constraint solved with NSGA-II, VNS and improved initialisation
Source code for the paper "Energy-Efficient Client Sampling for Federated Learning in Heterogeneous Mobile Edge Computing Networks", this paper is pulished in ICC 2024.
Prediciton of loads in data centers using Machine Learning (ML) Models
Chinese Building Energy-Efficient Design Datasets
CSE 614 Term Project
AER Decentralized Unstoppable Cryptocurrency
An energy-efficient neuron activation system for AI models. Concept by Baris (2025).
Hechler, deLange, Riedl (2024). Confidence saves energy. Replication code and data.
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