Results 11 to 20 of about 2,735,316 (329)
A self-driving laboratory advances the Pareto front for material properties [PDF]
Nature Communications, 2022 Useful materials must satisfy multiple objectives. The Pareto front expresses the trade-offs of competing objectives. This work uses a self-driving laboratory to map out the Pareto front for making highly conductive coatings at low temperatures.
Benjamin P. MacLeod +15 more
doaj +3 more sources
Direct Tracking of the Pareto Front of a Multi-Objective Optimization Problem
Journal of Marine Science and Engineering, 2020 In this paper, some methodologies aimed at the identification of the Pareto front of a multi-objective optimization problem are presented and applied. Three different approaches are presented: local sampling, Pareto front resampling and Normal Boundary ...
Daniele Peri
doaj +3 more sources
pyMCMA: Uniformly distributed Pareto-front representation [PDF]
SoftwareXpyMCMA is the Python implementation of a novel method for autonomous computation of the Pareto-front representation composed of efficient solutions distributed uniformly in terms of distances between neighbor Pareto solutions. pyMCMA supports scientific,
Marek Makowski +4 more
doaj +6 more sources
Clustering of the approximated Pareto front
Научно-технический вестник информационных технологий, механики и оптикиIn contemporary engineering and scientific practice, multi-objective optimization often facilitates the search for compromise solutions without prescribing weight coefficients or bounds, forming a Pareto front via heuristic approximation based on genetic
A. G. Yurtaev
doaj +3 more sources
The fairness‐accuracy Pareto front [PDF]
Statistical Analysis and Data Mining: The ASA Data Science Journal, 2020 Algorithmic fairness seeks to identify and correct sources of bias in machine learning algorithms. Confoundingly, ensuring fairness often comes at the cost of accuracy.
Susan Wei, M. Niethammer
semanticscholar +6 more sources
Directional Pareto Front and Its Estimation to Encourage Multi-Objective Decision-Making
IEEE Access, 2023 This work introduces the following concepts of directional and estimated directional Pareto front to encourage multi-objective decision making, especially when the Pareto front exists in limited regions in the objective space. The general output of multi-
Hiroyuki Sato, Tomoaki Takagi
exaly +3 more sources
Learning the Pareto Front with Hypernetworks
CoRR, 2020 Multi-objective optimization problems are prevalent in machine learning. These problems have a set of optimal solutions, called the Pareto front, where each point on the front represents a different trade-off between possibly conflicting objectives ...
Aviv Navon +3 more
semanticscholar +5 more sources
Active Learning of Pareto Fronts [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2014 This paper introduces the active learning of Pareto fronts (ALP) algorithm, a novel approach to recover the Pareto front of a multiobjective optimization problem. ALP casts the identification of the Pareto front into a supervised machine learning task. This approach enables an analytical model of the Pareto front to be built.
Roberto Battiti, Andrea Passerini
exaly +3 more sources
Elite Multi-Criteria Decision Making—Pareto Front Optimization in Multi-Objective Optimization
AlgorithmsOptimization is a process of minimizing or maximizing a given objective function under specified constraints. In multi-objective optimization (MOO), multiple conflicting functions are optimized within defined criteria.
Adarsh Kesireddy, F. Antonio Medrano
doaj +2 more sources
A multi objective optimization framework for smart parking using digital twin pareto front MDP and PSO for smart cities [PDF]
Sci RepSmart cities are designed to improve the quality of life by efficiently using resources and smart parking is an important part of this puzzle to help alleviate traffic congestion and efficiently address energy consumption and search time for parking ...
D. Sahu +5 more
semanticscholar +2 more sources