Iterative approach to indicator-based multiobjective optimization

Keywords

Mathematical optimization, Set (abstract data type), Multi-objective optimization, Evolutionary algorithm, Measure (data warehouse)

References

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• Indicator-Based Selection in Multiobjective SearchE. Zitzler, Simon Künzli — 2004
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Cited by

• Evolutionary multiobjective optimization: review, algorithms, and applicationsRoman Denysiuk — 2013
• Development of Pareto-based evolutionary model integrated with dynamic goal programming and successive linear objective reductionBaehyun Min, Changhyup Park, Ilsik Jang — 2015
• A Hybrid Selection Strategy Using Scalarization and Adaptive ε-Ranking for Many-objective OptimizationHernán Aguirre, Kiyoshi Tanaka — 2011
• Analysis of inverted PBI and comparison with other scalarizing functions in decomposition based MOEAsHiroyuki Satō — 2015
• Comparing solution sets of different size in evolutionary many-objective optimizationHisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima — 2015
• MOEA/D using constant-distance based neighbors designed for many-objective optimizationHiroyuki Satō — 2015
• Adaptive Control of Dominance Area of Solutions in Evolutionary Many-Objective OptimizationKouhei Tomita, Minami Miyakawa, Hiroyuki Satō — 2015
• Single-objective and multi-objective formulations of solution selection for hypervolume maximizationHisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto — 2009
• Priority based ∊ dominance: A new measure in multiobjective optimizationSanghamitra Bandyopadhyay, Rudrasis Chakraborty, Ujjwal Maulik — 2015
• Effectiveness of scalability improvement attempts on the performance of NSGA-II for many-objective problemsHisao Ishibuchi, Noritaka Tsukamoto, Yasuhiro Hitotsuyanagi — 2008
• Adaptive ε-Ranking on many-objective problemsHernán Aguirre, Kiyoshi Tanaka — 2009
• Objective Reduction in Many-Objective Optimization: Linear and Nonlinear AlgorithmsDhish Kumar Saxena, João A. Duro, Ashutosh Tiwari — 2013
• Effects of duplicated objectives in many-objective optimization problems on the search behavior of hypervolume-based evolutionary algorithmsHisao Ishibuchi, Masakazu Yamane, Yusuke Nojima — 2013
• Evolutionary many-objective optimization: A short reviewHisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima — 2008
• A new multi-objective evolutionary algorithm based on a performance assessment indicatorCynthia A. Rodríguez Villalobos, Carlos A. Coello Coello — 2012
• Scalability of multiobjective genetic local search to many-objective problems: Knapsack problem case studiesHisao Ishibuchi, Yasuhiro Hitotsuyanagi, Yusuke Nojima — 2008
• Variable space diversity, crossover and mutation in MOEA solving many-objective knapsack problemsHiroyuki Satō, Hernán Aguirre, Kiyoshi Tanaka — 2012
• A study on the effects of rankings sensitive to density on many-objective MNK LandscapesHernán Aguirre, Kiyoshi Tanaka — 2010
• Evolutionary many-objective optimizationHisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima — 2008
• Effects of using two neighborhood structures on the performance of cellular evolutionary algorithms for many-objective optimizationHisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto — 2009

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