Multi-Objective Optimisation, also known as Pareto Optimisation, is a method to optimise for multiple parameters simultaneously. When applicable, this method provides better results than the common ...

This repository is dedicated to tutorials to learn and practice using Pareto Fronts as a means for Multi-Objective Optimisation.

To address this issue, we have developed pymoo, a multi-objective optimization framework in Python. We provide a guide to getting started with our framework by demonstrating the implementation of an ...

Handling conflicting objectives and finding multiple Pareto optimal solutions are two challenging issues in solving multiobjective optimization problems (MOPs). Inspired by the efficiency of multitask ...

Over the past few years, natural intelligence-inspired adaptive metaheuristics have been developed as robust computational paradigms for solving intricate multi-objective optimization problems (MOPs).

Multi-objective scheduling problems in workshops are commonly encountered challenges in the increasingly competitive market economy. These scheduling problems require a trade-off among multiple ...

G. Gary Wang, Songqing Shan, Design Space Reduction for Multi-Objective Optimization and Robust Design Optimization Problems, SAE Transactions, Vol. 113, Section 5: JOURNAL OF MATERIALS AND ...

1. Effective decision-making in environmental management requires the consideration of multiple objectives that may conflict. Common optimization methods use weights on the multiple objectives to ...