Results 1 to 10 of about 2,735,316 (329)
Citation: 'Pareto front' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.11480 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
openaire +1 more source
Prioritization of stockpile maintenance with layered Pareto fronts
Quality Engineering, 2017 Difficult choices are required for a decision-making process where resources and budgets are increasingly constrained. This paper demonstrates a structured decision-making approach using layered Pareto fronts to identify priorities about how to allocate funds between munitions stockpiles based on their estimated reliability, the urgency of needing ...
Burke, Sarah E. +3 more
openaire +3 more sources
Reference Set Generator: A Method for Pareto Front Approximation and Reference Set Generation
MathematicsIn this paper, we address the problem of obtaining bias-free and complete finite size approximations of the solution sets (Pareto fronts) of multi-objective optimization problems (MOPs). Such approximations are, in particular, required for the fair usage
Angel E. Rodriguez-Fernandez +2 more
doaj +1 more source
PLoS ONEBi-objective optimization problems arise when a process needs to be optimized with respect to two conflicting objectives. Solving such problems produces a set of points called the Pareto front, where no objective can be improved without worsening at ...
Ihab Hashem +3 more
doaj +1 more source
Journal of Optimization, Differential Equations and Their ApplicationsThis paper proposes an extension of Zoutendijk’s Method of Feasible Directions (MFD) for solving linearly constrained multi-objective optimization problems.
Ramdani Zoubir +2 more
doaj +1 more source
Efficient Fairness-Performance Pareto Front Computation
Advances in Neural Information Processing Systems 38There is a well known intrinsic trade-off between the fairness of a representation and the performance of classifiers derived from the representation. Due to the complexity of optimisation algorithms in most modern representation learning approaches, for a given method it may be non-trivial to decide whether the obtained fairness-performance curve of ...
Mark Kozdoba +2 more
openaire +2 more sources
A hybrid approach to approximate the Pareto front of the MOST problem
Croatian Operational Research ReviewThis study introduces a hybrid NSGA-II algorithm with Multi-VNS for approximating the Pareto front of the multi-objective spanning tree (MOST) problem, building on recent approaches that have adapted NSGA-II combined with local search heuristics.
Asma Boumesbah, Mohamed El-Amine Chergui
doaj +1 more source
Exact Pareto Optimal Search for Multi-Task Learning: Touring the Pareto Front
arXiv.org, 2021 Debabrata Mahapatra, Vaibhav Rajan
semanticscholar +1 more source
Deep Q-Managed: a new framework for multi-objective deep reinforcement learning
Frontiers in Artificial IntelligenceThis paper introduces Deep Q-Managed, a novel multi-objective reinforcement leaning (MORL) algorithm designed to discover all policies within the Pareto Front.
Richardson Menezes +4 more
doaj +1 more source
Structured Pareto Front Representation
The paper presents a novel methodology for autonomous generation of the Pareto-Front Representation (PFR) of Linear Programming (LP) models. Following the Structured Modeling principles, the developed approach supports multiple-criteria analysis of independently developed diverse LP models.
Makowski, Marek +5 more
openaire +2 more sources