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Evolutionary Multi-Criterion Optimization
Capabilities of EMOA to Detect and Preserve Equivalent Pareto Subsets
other
Author(s):
Günter Rudolph
,
Boris Naujoks
,
Mike Preuss
Publication date
(Print):
2007
Publisher:
Springer Berlin Heidelberg
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Evolutionary Algorithms for Solving Multi-Objective Problems
Carlos Coello Coello
,
David van Veldhuizen
,
Gary B. Lamont
(2002)
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The Design of Experiments
Ronald A. Fisher
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RA Fisher
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R. A FISHER
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(1935)
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Design and analysis of experiment
DC MONTGOMERY
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D. Montgomery
,
DC Montgomery
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(2001)
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Book Chapter
Pages
: 36-50
DOI:
10.1007/978-3-540-70928-2_7
SO-VID:
01d9baee-3087-470c-97a6-2414a5166a50
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Book chapters
pp. 5
Controlling Dominance Area of Solutions and Its Impact on the Performance of MOEAs
pp. 51
Optimization of Scalarizing Functions Through Evolutionary Multiobjective Optimization
pp. 81
Multiobjective Evolutionary Algorithms on Complex Networks
pp. 417
Multi-objective Pole Placement with Evolutionary Algorithms
pp. 36
Capabilities of EMOA to Detect and Preserve Equivalent Pareto Subsets
pp. 633
MOGA-II for an Automotive Cooling Duct Optimization on Distributed Resources
pp. 877
The Multiple Multi Objective Problem – Definition, Solution and Evaluation
pp. 908
A Comparative Study of Progressive Preference Articulation Techniques for Multiobjective Optimisation
pp. 922
Test Problems Based on Lamé Superspheres
pp. 257
Differential Evolution versus Genetic Algorithms in Multiobjective Optimization
pp. 361
Heatmap Visualization of Population Based Multi Objective Algorithms
pp. 700
Radar Waveform Optimisation as a Many-Objective Application Benchmark
pp. 715
Robust Multi-Objective Optimization in High Dimensional Spaces
pp. 727
Substitute Distance Assignments in NSGA-II for Handling Many-objective Optimization Problems
pp. 742
Pareto-, Aggregation-, and Indicator-Based Methods in Many-Objective Optimization
pp. 757
Quantifying the Effects of Objective Space Dimension in Evolutionary Multiobjective Optimization
pp. 772
Non-linear Dimensionality Reduction Procedures for Certain Large-Dimensional Multi-objective Optimization Problems: Employing Correntropy and a Novel Maximum Variance Unfolding
pp. 803
Dynamic Multi-objective Optimization and Decision-Making Using Modified NSGA-II: A Case Study on Hydro-thermal Power Scheduling
pp. 832
Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization
pp. 862
The Hypervolume Indicator Revisited: On the Design of Pareto-compliant Indicators Via Weighted Integration
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