Dynamic optimization facilitated by the memory tree

Verfasser / Beitragende:
[Tao Zhu, Wenjian Luo, Lihua Yue]
Ort, Verlag, Jahr:
2015
Enthalten in:
Soft Computing, 19/3(2015-03-01), 547-566
Format:
Artikel (online)
ID: 605469466
LEADER caa a22 4500
001 605469466
003 CHVBK
005 20210128100322.0
007 cr unu---uuuuu
008 210128e20150301xx s 000 0 eng
024 7 0 |a 10.1007/s00500-014-1273-1  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00500-014-1273-1 
245 0 0 |a Dynamic optimization facilitated by the memory tree  |h [Elektronische Daten]  |c [Tao Zhu, Wenjian Luo, Lihua Yue] 
520 3 |a Memorizing the past information for later environments is an effective and widely employed approach to optimize dynamic problems. Although the existing explicit memories for dynamic optimization differ widely in the literature, all of them organize memory entries in a linear list. This naive structure leads to problems, such as heavy computational overhead and small memory capacity, and thus restricts the performance of the memories. In this paper, the binary space partition tree is adopted to organize the memory entries, and then a memory tree is constructed. The memory tree partitions the search space into regions. In order to make use of the memory tree, a neighbor shift strategy is proposed. When a new individual is generated in a region that has never been visited since the last change, the new individual is shifted to the neighboring memory individual of that region, if it is less fit than the memory individual. The proposed approach can be easily combined with many population-based algorithms for dynamic optimization in the real space. As examples, the proposed approach was combined with a basic particle swarm optimizer and two state-of-the-art dynamic optimizers. The experimental results showed that it significantly enhanced the performance of the three optimizers on various test problems. The proposed approach demonstrates the importance of memory structure in memory approaches. 
540 |a Springer-Verlag Berlin Heidelberg, 2014 
690 7 |a Dynamic optimization problem  |2 nationallicence 
690 7 |a Population-based algorithms  |2 nationallicence 
690 7 |a Memory  |2 nationallicence 
690 7 |a Memory structure  |2 nationallicence 
690 7 |a Binary space partition tree  |2 nationallicence 
700 1 |a Zhu  |D Tao  |u Anhui Province Key Laboratory of Software Engineering in Computing and Communication, School of Computer Science and Technology, University of Science and Technology of China, 230027, Hefei, Anhui, China  |4 aut 
700 1 |a Luo  |D Wenjian  |u Anhui Province Key Laboratory of Software Engineering in Computing and Communication, School of Computer Science and Technology, University of Science and Technology of China, 230027, Hefei, Anhui, China  |4 aut 
700 1 |a Yue  |D Lihua  |u Anhui Province Key Laboratory of Software Engineering in Computing and Communication, School of Computer Science and Technology, University of Science and Technology of China, 230027, Hefei, Anhui, China  |4 aut 
773 0 |t Soft Computing  |d Springer Berlin Heidelberg  |g 19/3(2015-03-01), 547-566  |x 1432-7643  |q 19:3<547  |1 2015  |2 19  |o 500 
856 4 0 |u https://doi.org/10.1007/s00500-014-1273-1  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00500-014-1273-1  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Zhu  |D Tao  |u Anhui Province Key Laboratory of Software Engineering in Computing and Communication, School of Computer Science and Technology, University of Science and Technology of China, 230027, Hefei, Anhui, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Luo  |D Wenjian  |u Anhui Province Key Laboratory of Software Engineering in Computing and Communication, School of Computer Science and Technology, University of Science and Technology of China, 230027, Hefei, Anhui, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Yue  |D Lihua  |u Anhui Province Key Laboratory of Software Engineering in Computing and Communication, School of Computer Science and Technology, University of Science and Technology of China, 230027, Hefei, Anhui, China  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Soft Computing  |d Springer Berlin Heidelberg  |g 19/3(2015-03-01), 547-566  |x 1432-7643  |q 19:3<547  |1 2015  |2 19  |o 500