Parallel Cell Mapping for Unconstrained Multi-Objective Optimization Problems

DOI10.1007/978-3-319-07494-8_10zbMath1306.90143OpenAlexW86822091MaRDI QIDQ5176391

Oliver Schütze, Jesús Fernández Cruz, Fu-Rui Xiong, Jian-Qiao Sun

Publication date: 3 March 2015

Published in: Advances in Intelligent Systems and Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-07494-8_10

zbMATH Keywords

multi-objective optimizationparallel computingcell mapping techniquesGraphics Processing Unit (GPU)

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18)

Uses Software

• CUDA
• OpenCL

Cites Work

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• Multiobjective search algorithm with subdivision technique
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• Covering Pareto sets by multilevel subdivision techniques
• Gap-free computation of Pareto-points by quadratic scalarizations
• Computing the Set of Approximate Solutions of a Multi-objective Optimization Problem by Means of Cell Mapping Techniques
• A Hybrid Algorithm for the Simple Cell Mapping Method in Multi-objective Optimization
• Adaptive Scalarization Methods in Multiobjective Optimization
• Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems
• Evolutionary Algorithms for Solving Multi-Objective Problems
• Parallel Programming

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