Results 61 to 70 of about 2,735,316 (329)
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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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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Pareto front for α = 0.5 of AUGMECON method.
, 2022 Pareto front for α = 0.5 of AUGMECON method.
Shuqi Zhong (13844723) +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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International Journal of Forestry Research, 2012 A stand-level, multiobjective evolutionary algorithm (MOEA) for determining a set of efficient thinning regimes satisfying two objectives, that is, value production for sawlog harvesting and volume production for a pulpwood market, was successfully ...
Oliver Chikumbo
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Pareto front of the sparse NMF.
, 2023 The α = 0.4 and β = 0.4 parameters are selected to incorporate a fair number of members to the Pareto front, and also have most of the objectives incorporated into a component.
János Abonyi (10106040) +3 more
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Pareto front—Vaccination of an additional 0.3 million people in Israel.
, 2022 Top graph presents outcomes of random allocations when all ages are eligible for vaccination (square blue markers). Black solid curve is the Pareto front when all ages are eligible for vaccination.
Nir Gavish (4688047) +1 more
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What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-Based Evolutionary Multiobjective Optimisation [PDF]
Evolutionary Computation, 2017 The quality of solution sets generated by decomposition-based evolutionary multi-objective optimisation (EMO) algorithms depends heavily on the consistency between a given problem's Pareto front shape and the specified weights' distribution.
M. Li, Xin Yao
semanticscholar +1 more source
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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