Generation of Pareto optimal solutions using generalized DEA and PSO

DOI10.1007/s10898-015-0314-3zbMath1339.90310OpenAlexW645510468MaRDI QIDQ905753

Hirotaka Nakayama, Ye Boon Yun, Min Su Yoon

Publication date: 28 January 2016

Published in: Journal of Global Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10898-015-0314-3

zbMATH Keywords

multi-objective optimizationPareto optimal solutionsparticle swarm optimizationgeneralized data envelopment analysis

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (1)

Multidimensional frontier visualization based on optimization methods using parallel computations

Uses Software

• NSPSO
• EMOPSO
• SMPSO

Cites Work

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• Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
• Measuring the efficiency of decision making units
• Multiple criteria decision making with generalized DEA and an aspiration level method
• Recent approaches to global optimization problems through particle Swarm optimization
• A generalized model for data envelopment analysis
• Evolutionary Multi-Criterion Optimization
• Evolutionary Multi-Criterion Optimization
• Generation of efficient frontiers in multi-objective optimization problems by generalized data envelopment analysis.

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