MATLAB Tool for Multi-Objective Optimization
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Updated
Mar 28, 2025 - MATLAB
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MATLAB Tool for Multi-Objective Optimization
CK automation actions to let users implement portable, customizable and reusable program workflows for reproducible, collaborative and multi-objective benchmarking, optimization and SW/HW co-design:
A State Manager focused on KISS and Pareto's Principle
Multiobjective active learning with tunable accuracy/efficiency tradeoff and clear stopping criterion.
Finding optimal no of clusters in MOPSO implementation of Wireless Sensor Networks.
Reduce Warehouse Space with the Pareto Principle using Python
Implementation of NSGA-II in Python
A unified Python library for multi-objective feature selection algorithms, built for both research reproducibility and real-world applications.
A Python-based, open source, desktop application to import, read and analyse excel files in order to create and display multiple charts.
Tier-1 strategy-consultant frameworks (MECE, Issue Trees, Hypothesis-Driven, Pareto, So What?) packaged as Claude Skills + LLM-agnostic prompts. Drop in any LLM and get whiteboard-style structured analysis. Adapted from Analyst Academy on YouTube.
Multiple-criteria decision-making (MCDM) with Electre, Promethee, Weighted Sum and Pareto
Advanced choice modeling with multidimensional utility representations.
Python bindings for OptFrame C++ Functional Core
This is the official repository to PARODIS, the Matlab PAReto Optimal Model Predictive Control framework for DIstributed Systems.
Open Source Javascript library to render screeplots using D3
Source code for the paper "Toward Finding Strong Pareto Optimal Policies in Multi-Agent Reinforcement Learning"
Pareto-related recipes to be used with Plots.jl
GEPA: Reflective Prompt Evolution — a Rust implementation of the genetic-Pareto prompt optimizer
Time Series forecasting model for predicting the unit’s movement of the inventory in the warehouses and stores in order to do capacity planning and prepare for peak volume at the granularity level of week/channel/location.
The code in this project solves the problem of finding the optimal diameter for a straight pipe conveying an incompressible fluid, for user defined mass flow rates. The best design solution is considered the one that minimizes both the pressure drop per unitary pipe length and the pipe diameter. Solutions are ranked according to TOPSIS method. T…
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