From a Pareto Front to Pareto Regions: A Novel Standpoint for Multiobjective Optimization
Mathematics, 2021 This work presents a novel approach for multiobjective optimization problems, extending the concept of a Pareto front to a new idea of the Pareto region.
Carine M. Rebello +6 more
doaj +2 more sources
Version [2.0] — [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 the distances between neighbor Pareto solutions.
Marek Makowski +4 more
doaj +2 more sources
PAVED: Pareto Front Visualization for Engineering Design [PDF]
Computer Graphics Forum, 2020 Design problems in engineering typically involve a large solution space and several potentially conflicting criteria. Selecting a compromise solution is often supported by optimization algorithms that compute hundreds of Pareto‐optimal solutions, thus ...
Lena Cibulski +3 more
semanticscholar +3 more sources
Pareto Front Transformation in the Decision-Making Process for Spectral and Energy Efficiency Trade-Off in Massive MIMO Systems [PDF]
SensorsThis paper presents a method of choosing a single solution in the Pareto Optimal Front of the multi-objective problem of the spectral and energy efficiency trade-off in Massive MIMO (Multiple Input, Multiple Output) systems.
Eni Haxhiraj, Desar Shahu, Elson Agastra
doaj +2 more sources
Enhancing Specific Stiffness of Nano-Architected Materials Through Generative AI and Active Learning. [PDF]
Adv Sci (Weinh)A structure‐centric generative framework searches voxelated design space directly, coupling a variational autoencoder with multi‐objective optimization and active learning to progressively expand the validated design domain. The discovered nano‐architectures, realized as pyrolytic carbon by two‐photon lithography, deliver 18–23% higher stiffness and 26–
Yeo J +4 more
europepmc +2 more sources
Random Pareto front surfaces [PDF]
CoRRThe code is available at: https://github.com/benmltu ...
Ben Tu +3 more
core +5 more sources
Finding Pareto-front Membership Functions in Fuzzy Data Mining [PDF]
International Journal of Computational Intelligence Systems, 2012 Transactions with quantitative values are commonly seen in real-world applications. Fuzzy mining algorithms have thus been developed recently to induce linguistic knowledge from quantitative databases.
Chun-Hao Chen +2 more
doaj +2 more sources
Clustering Analysis for the Pareto Optimal Front in Multi-Objective Optimization
Computation, 2022 Bio-inspired algorithms are a suitable alternative for solving multi-objective optimization problems. Among different proposals, a widely used approach is based on the Pareto front.
Lilian Astrid Bejarano +2 more
doaj +2 more sources
A framework for controllable Pareto front learning with completed scalarization functions and its applications [PDF]
Neural Networks, 2023 Pareto Front Learning (PFL) was recently introduced as an efficient method for approximating the entire Pareto front, the set of all optimal solutions to a Multi-Objective Optimization (MOO) problem. In the previous work, the mapping between a preference
T. Tran +3 more
semanticscholar +1 more source
Optimization over the Pareto front of nonconvex multi-objective optimal control problems [PDF]
Computational optimization and applications, 2023 Simultaneous optimization of multiple objective functions results in a set of trade-off, or Pareto, solutions. Choosing a, in some sense, best solution in this set is in general a challenging task: In the case of three or more objectives the Pareto front
C. Kaya, H. Maurer
semanticscholar +1 more source