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Pareto optimality in multilayer network growth [PDF]
, 2018 We model the formation of multi-layer transportation networks as a multi-objective optimization process, where service providers compete for passengers, and the creation of routes is determined by a multi-objective cost function encoding a trade-off ...
A. Cook +13 more
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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
doaj +1 more source
Pareto optimal fronts of kinetic proofreading
New Journal of Physics, 2023 Abstract Biological processes such as DNA replication, RNA transcription, and protein translation operate with remarkable speed and accuracy in selecting the right substrate from pools of chemically identical molecules. This result is obtained by non-equilibrium reactions that dissipate chemical energy. It is widely recognized that there
Davide Chiuchiu +2 more
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Multi-objective design of antenna structures using variable-fidelity EM simulations and co-kriging [PDF]
, 2014 A methodology for low-cost multi-objective design of antenna structures is proposed. To reduce the computational effort of the design process the initial Pareto front is obtained by optimizing the response surface approximation (RSA) model obtained from ...
Couckuyt, Ivo +3 more
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ISPRS International Journal of Geo-Information, 2018 Land-use allocation is of great significance in urban development. This type of allocation is usually considered to be a complex multi-objective spatial optimization problem, whose optimized result is a set of Pareto-optimal solutions (Pareto front ...
Lina Yang +3 more
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Pareto or non-Pareto: Bi-criterion evolution in multi-objective optimization [PDF]
, 2015 It is known that Pareto dominance has its own weaknesses as the selection criterion in evolutionary multi-objective optimization. Algorithms based on Pareto dominance can suffer from slow convergence to the optimal front, inferior performance on problems
Li, M, Liu, X, Yang, S
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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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System optimization by multiobjective genetic algorithms and analysis of the coupling between variables, constraints and objectives [PDF]
, 2005 This paper presents a methodology based on Multiobjective Genetic Algorithms (MOGA’s) for the design of electrical engineering systems. MOGA’s allow to optimize multiple heterogeneous criteria in complex systems, but also simplify couplings and ...
Roboam, Xavier +2 more
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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
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