@inproceedings{0bdc37f2e9524952b0761b85737327c1,
title = "An evolutionary algorithm based on decomposition for multimodal optimization problems",
abstract = "This paper presents a non-parameter method to identify the peaks of the multi-modal optimization problems provided that the peaks are characterized by a smaller objective values than their neighbors and by a relatively large distance from points with smaller objective value. Using the identified peaks as the seeds, we decompose the population into some subpopulations and dynamically allocate the computational effort to different subpopulations. We evaluate the proposed approach on the CEC2015 single objective multi-niche optimization problems. The promising experimental results show its efficacy.",
author = "Fangqing Gu and CHEUNG, {Yiu Ming} and Jie Luo",
note = "Funding Information: The work described in this paper was supported by the NSFC grant: 61272366, and by Faculty Research Grant of Hong Kong Baptist University with the Project Code: FRG2/14-15/075.; IEEE Congress on Evolutionary Computation, CEC 2015 ; Conference date: 25-05-2015 Through 28-05-2015",
year = "2015",
month = sep,
day = "10",
doi = "10.1109/CEC.2015.7257011",
language = "English",
series = "2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings",
publisher = "IEEE",
pages = "1091--1097",
booktitle = "2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings",
address = "United States",
}