Wong, Ka-ChunKa-ChunWongProf. LEUNG Kwong SakWong, Man-HonMan-HonWong2023-03-232023-03-232010Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6024 LNCS, Issue PART 1, pp. 481 - 4903642122388978-364212238-503029743http://hdl.handle.net/20.500.11861/7546To explore the effect of spatial locality, crowding differential evolution is incorporated with spatial locality for multimodal optimization. Instead of random trial vector generations, it takes advantages of spatial locality to generate fitter trial vectors. Experiments were conducted to compare the proposed algorithm (CrowdingDE-L) with the state-of-the-art algorithms. Further experiments were also conducted on a real world problem. The experimental results indicate that CrowdingDE-L has a competitive edge over the other algorithms tested. © 2010 Springer-Verlag Berlin Heidelberg.enConference Paper10.1007/978-3-642-12239-2_50