@article{(Open Science Index):https://publications.waset.org/pdf/10007189,
	  title     = {Examining the Performance of Three Multiobjective Evolutionary Algorithms Based on Benchmarking Problems},
	  author    = {Konstantinos Metaxiotis and  Konstantinos Liagkouras},
	  country	= {},
	  institution	= {},
	  abstract     = {The objective of this study is to examine the performance of three well-known multiobjective evolutionary algorithms for solving optimization problems. The first algorithm is the Non-dominated Sorting Genetic Algorithm-II (NSGA-II), the second one is the Strength Pareto Evolutionary Algorithm 2 (SPEA-2), and the third one is the Multiobjective Evolutionary Algorithms based on decomposition (MOEA/D). The examined multiobjective algorithms are analyzed and tested on the ZDT set of test functions by three performance metrics. The results indicate that the NSGA-II performs better than the other two algorithms based on three performance metrics.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {11},
	  number    = {6},
	  year      = {2017},
	  pages     = {660 - 665},
	  ee        = {https://publications.waset.org/pdf/10007189},
	  url   	= {https://publications.waset.org/vol/126},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 126, 2017},
	}