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Two Objective Public Service System Design Problem
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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A Survey of Evolutionary Algorithms for Multi-objective Optimization Problems with Irregular Pareto Fronts [PDF]
In reality, the Pareto fronts of multi-objective optimization problems are often irregular. Evolutionary algorithms for such problems have gradually become a hot topic.
HUA Yicun +3 more
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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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Pareto Joint Inversion of 2D magnetometric and gravity data- synthetic study [PDF]
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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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
core +1 more source
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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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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On the Construction of Pareto-Compliant Combined Indicators [PDF]
The most relevant property that a quality indicator (QI) is expected to have is Pareto compliance, which means that every time an approximation set strictly dominates another in a Pareto sense, the indicator must reflect this.
Coello, C.A. +2 more
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