[ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning
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Aug 12, 2021 - Jupyter Notebook
[ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning
AutoOED: Automated Optimal Experimental Design Platform
Finding optimal no of clusters in MOPSO implementation of Wireless Sensor Networks.
NSGA-III: Non-dominated Sorting Genetic Algorithm, the Third Version — MATLAB Implementation
🎓An AI tool to assist universities with optimal allocation of students to supervisors for their dissertations. Devised a multi-objective genetic algorithm for the task.
Master project. Simulator to find the optimal deployment model of FaaS (serverless) and VM-based instances to reduce cost
Оптимизация долгосрочного портфеля акций
Genetic Algorithm (GA) for a Multi-objective Optimization Problem (MOP)
This paper presents an intelligent sizing method to improve the performance and efficiency of a CMOS Ring Oscillator (RO). The proposed approach is based on the simultaneous utilization of powerful and new multi-objective optimization techniques along with a circuit simulator under a data link. The proposed optimizing tool creates a perfect trad…
Implementation of verification algorithms for the Pareto-Rational Verification problem (PRV problem).
Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D) in MATLAB
which kart setups are good
The python implementation of Partition-based Random Search for stochastic multi-objective optimization via simulation
Pareto-optimal data compression for binary classification tasks
Finding Pareto Optimal Solutions in Large Graphs Using Graph Databases
DVFS framework
Multi-objective optimization based on sloping plate optimization algorithm called Multi-objective Inclined Planes system optimization algorithm (MOIPO) is presented in this link. The proposed method uses the concept of Pareto optimization to identify non-dominant positions and an external tank to maintain these positions.
Tesis de Ingeniería en Computación: Extensión de PostgreSQL con Mecanismos de Optimización de Consultas basadas en Preferencias (Mención Honorífica).
Code for calibration as a method of design.
📉 Disk Storage of Compressed k-mer Dictionaries, with or without Random Access in Main Memory.
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