Results 11 to 20 of about 66,012 (265)
Jurnal Matematika Integratif, 2020 Teori optimisai merupakan salah satu disiplin ilmu matematika yang banyak diterapkan dalam dunia nyata. Hampir semua masalah optimisasi di dunia nyata memiliki banyak fungsi objektif (multiobjektive) yang harus dipenuhi secara simultan dan seringkali ...
Syarifah Inayati, Rahmawati Rahmawati
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On upper approximations of Pareto fronts [PDF]
Journal of Global Optimization, 2018 In one of our earlier works, we proposed to approximate Pareto fronts to multiobjective optimization problems by two-sided approximations, one from inside and another from outside of the feasible objective set, called, respectively, lower shell and upper shell. We worked there under the assumption that for a given problem an upper shell exists.
Kaliszewski, I., Miroforidis, J.
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Efficient Elitist Cooperative Evolutionary Algorithm for Multi-Objective Reinforcement Learning
IEEE Access, 2023 Sequential decision-making problems with multiple objectives are known as multi-objective reinforcement learning. In these scenarios, decision-makers require a complete Pareto front that consists of Pareto optimal solutions. Such a front enables decision-
Dan Zhou, Jiqing Du, Sachiyo Arai
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Automatic Discovery of Privacy–Utility Pareto Fronts [PDF]
Proceedings on Privacy Enhancing Technologies, 2020 Abstract Differential privacy is a mathematical framework for privacy-preserving data analysis. Changing the hyperparameters of a differentially private algorithm allows one to trade off privacy and utility in a principled way. Quantifying this trade-off in advance is essential to decision-makers tasked with deciding how much privacy can
Avent, Brendan +4 more
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Two Objective Public Service System Design Problem
Communications, 2021 The public service system serves population spread over a geographical area from a given number of service centers. One of the possible approaches to the problem with two or more simultaneously applied contradicting objectives is ...
Jaroslav Janáček +3 more
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Improved sampling of the pareto-front in multiobjective genetic optimizations by steady-state evolution: a Pareto converging genetic algorithm [PDF]
, 2002 Previous work on multiobjective genetic algorithms has been focused on preventing genetic drift and the issue of convergence has been given little attention.
Goldberg D. E. +4 more
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Pareto Joint Inversion of 2D magnetometric and gravity data- synthetic study [PDF]
E3S Web of Conferences, 2019 Pareto joint inversion for two or more data sets is an attractive and promising tool which eliminates target functions weighing and scaling, providing a set of acceptable solutions composing a Pareto front.
Danek Tomasz +3 more
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Multiplicative Approximations, Optimal Hypervolume Distributions, and the Choice of the Reference Point [PDF]
, 2013 Many optimization problems arising in applications have to consider several objective functions at the same time. Evolutionary algorithms seem to be a very natural choice for dealing with multi-objective problems as the population of such an algorithm ...
Friedrich, Tobias +2 more
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Physics and Imaging in Radiation Oncology, 2020 Introduction: Radiotherapy treatment planning is a multi-criteria problem. Any optimization of the process produces a set of mathematically optimal solutions.
A. Kyroudi +5 more
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Multi-criteria analysis applied to multi-objective optimal pump scheduling in water systems [PDF]
, 2019 This work presents a multi-criteria-based approach to automatically select specific non-dominated solutions from a Pareto front previously obtained using multi-objective optimization to find optimal solutions for pump control in a water supply system ...
Brentan Bruno +4 more
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