@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}, }