AutoOED: Automated Optimal Experimental Design Platform

[ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning

NSGA-III: Non-dominated Sorting Genetic Algorithm, the Third Version — MATLAB Implementation

Genetic Algorithm (GA) for a Multi-objective Optimization Problem (MOP)

🎓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.

Finding optimal no of clusters in MOPSO implementation of Wireless Sensor Networks.

Code for "A Framework for Controllable Pareto Front Learning with Completed Scalarization Functions and its Applications"

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…

The python implementation of Partition-based Random Search for stochastic multi-objective optimization via simulation

Оптимизация долгосрочного портфеля акций

Master project. Simulator to find the optimal deployment model of FaaS (serverless) and VM-based instances to reduce cost

📉 Disk Storage of Compressed k-mer Dictionaries, with or without Random Access in Main Memory.

which kart setups are good

Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D) in MATLAB

Finding Pareto Optimal Solutions in Large Graphs Using Graph Databases

Implementation of verification algorithms for the Pareto-Rational Verification problem (PRV problem).

DVFS framework

Tesis de Ingeniería en Computación: Extensión de PostgreSQL con Mecanismos de Optimización de Consultas basadas en Preferencias (Mención Honorífica).

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.

Code for calibration as a method of design.