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A Method for Reducing the Cardinality of the Pareto Front [PDF]
, 2012 Multi-objective problems are characterised by the presence of a set of optimal trade-off solutions –a Pareto front–, from which a solution has to be selected by a decision maker. However, selecting a solution from a Pareto front depends on large quantities of solutions to select from and dimensional complexity due to many involved objectives, among ...
Ivan Cabezas, María P. Trujillo
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Shanghai Jiaotong Daxue xuebao, 2021 In this paper, an optimal sizing and placement model for distributed generation (DG) is established, which includes active power losses, voltage profile, pollution emission, DG costs, and meteorological conditions.
YANG Bo, YU Lei, WANG Junting, SHU Hongchun, CAO Pulin, YU Tao
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PAVED: Pareto Front Visualization for Engineering Design [PDF]
Computer Graphics Forum, 2020 AbstractDesign 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 informing a decision by the engineer.
Lena Cibulski +3 more
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, 2023 Pareto fronts can be convex (A), concave (B), or the mixture of both. Additionally, the set of solutions can have multiple Pareto fronts, which can be identified by ignoring previously determined non-dominated solutions and repeating the search for ...
János Abonyi (10106040) +3 more
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Approximating Pareto frontier using a hybrid line search approach [PDF]
, 2010 This is the post-print version of the final paper published in Information Sciences. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting ...
Abraham, A, Grosan, C
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Applied SciencesBackground: Multi-objective optimization (MOO) is widely used in engineering design and energy systems to represent trade-offs through Pareto fronts. Yet practical deployment requires moving from a non-dominated set to an implementable preferred design ...
Marwa Mekky, Raphael Lechner
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Public Service System Design With Conflicting Criteria
IEEE Access, 2021 Multi-criteria optimization problems represent a crucial task for any designer of a public service system due to conflicting criteria, which have to be faced.
Jaroslav Janacek, Rene Fabricius
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Mathematical and Computational Applications, 2022 Multi-objective evolutionary algorithms (MOEAs) have been successfully applied for the numerical treatment of multi-objective optimization problems (MOP) during the last three decades.
Carlos Ignacio Hernández Castellanos +1 more
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Version [2.0] — [pyMCMA: Uniformly distributed Pareto-front representation]
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
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