Multi-Objective Particle Swarm Optimization.

This report presents the development of an interactive web-based visualization tool for multi-objective particle swarm optimization (MOPSO), created during a summer internship at CERN. The project involved designing and implementing a comprehensive dashboard that enables researchers to upload CSV file containing MOPSO results and visualize them through dynamic scatter matrix plots. The interface was developed using Python’s Dash framework, deployed on CERN’s OpenShift Kubernetes Distribution (OKD) Platform-as-a-Service, and tested using CERN’s SWAN (Service for Web-based Analysis) environment. The tool provides interactive filtering, pareto front identification, target point, and real-time data manipulation capabilities, significantly enhancing the analysis workflow for multi-objective optimization problems in high-energy physics applications.