Empirical Analysis of A Partial Dominance Approach to Many-Objective Optimisation
暂无分享,去创建一个
[1] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[2] Zhun Fan,et al. Decomposing a Multiobjective Optimization Problem into a Number of Reduced-Dimension Multiobjective Subproblems Using Tomographic Scanning , 2015, 2015 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration.
[3] Carlos A. Coello Coello,et al. MOMBI: A new metaheuristic for many-objective optimization based on the R2 indicator , 2013, 2013 IEEE Congress on Evolutionary Computation.
[4] Yiu-ming Cheung,et al. Objective Extraction for Many-Objective Optimization Problems: Algorithm and Test Problems , 2016, IEEE Transactions on Evolutionary Computation.
[5] Andries Engelbrecht,et al. Partial Dominance for Many-Objective Optimization , 2020, ISMSI.
[6] Eckart Zitzler,et al. Indicator-Based Selection in Multiobjective Search , 2004, PPSN.
[7] Kalyanmoy Deb,et al. Simulated Binary Crossover for Continuous Search Space , 1995, Complex Syst..
[8] Kiyoshi Tanaka,et al. Working principles, behavior, and performance of MOEAs on MNK-landscapes , 2007, Eur. J. Oper. Res..
[9] Qingfu Zhang,et al. Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties , 2019, Swarm Evol. Comput..
[10] Heike Trautmann,et al. On the properties of the R2 indicator , 2012, GECCO '12.
[11] Bernhard Sendhoff,et al. A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization , 2016, IEEE Transactions on Evolutionary Computation.
[12] C. Coello,et al. Improving PSO-based Multi-Objective Optimization using Crowding , Mutation and �-Dominance , 2005 .
[13] Marco Laumanns,et al. SPEA2: Improving the strength pareto evolutionary algorithm , 2001 .