caa a22 4500 605470197 CHVBK 20210128100326.0 cr unu---uuuuu 210128e20150801xx s 000 0 eng 10.1007/s00500-014-1399-1 doi (NATIONALLICENCE)springer-10.1007/s00500-014-1399-1 Enhanced differential evolution using random-based sampling and neighborhood mutation [Elektronische Daten] [Gang Liu, Caiquan Xiong, Zhaolu Guo] Differential evolution (DE) is a simple and efficient global optimization algorithm. When differential evolution is applied in complex optimization problems, it has the shortages of prematurity and stagnation. An enhanced differential evolution using random sampling and neighborhood mutation to solve the above problems is proposed in this paper. The proposed enhanced DE is called random-based differential evolution with neighborhood mutation (NRDE). Random-based sampling is an improvement of center-based sampling. In NRDE, random-based sampling as the new mutation operator to generate the random-based individuals and the designed neighborhood mutation operator are used to search in the neighborhood created by the centers of the population and the sub-population. This paper compares other state-of-the-art evolutionary algorithms with the proposed algorithm, NRDE. Experimental verifications are conducted on 24 benchmark functions and the CEC'05 competition, including detailed analysis for NRDE. The results clearly show that NRDE outperforms other evolutionary algorithms in terms of the solution accuracy and the convergence rate. Springer-Verlag Berlin Heidelberg, 2014 Differential evolution nationallicence Random-based sampling nationallicence Neighborhood mutation nationallicence Global optimization nationallicence Liu Gang Computer School, Hubei University of Technology, 430072, Wuhan, China aut Xiong Caiquan Computer School, Hubei University of Technology, 430072, Wuhan, China aut Guo Zhaolu State Key Laboratory of Software Engineering, Computer School, Wuhan University, 430072, Wuhan, China aut Soft Computing Springer Berlin Heidelberg 19/8(2015-08-01), 2173-2192 1432-7643 19:8<2173 2015 19 500 https://doi.org/10.1007/s00500-014-1399-1 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1399-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Liu Gang Computer School, Hubei University of Technology, 430072, Wuhan, China aut NATIONALLICENCE 700 1- Xiong Caiquan Computer School, Hubei University of Technology, 430072, Wuhan, China aut NATIONALLICENCE 700 1- Guo Zhaolu State Key Laboratory of Software Engineering, Computer School, Wuhan University, 430072, Wuhan, China aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/8(2015-08-01), 2173-2192 1432-7643 19:8<2173 2015 19 500