A two-stage adaptive penalty method based on co-evolution for constrained evolutionary optimization
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2198-6053
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
A two-stage adaptive penalty method based on co-evolution for constrained evolutionary optimization ; day:25 ; month:1 ; year:2023 ; pages:1-13
Complex & intelligent systems ; (25.1.2023), 1-13
- Creator
-
Wang, Bing-Chuan
Guo, Jing-Jing
Huang, Pei-Qiu
Meng, Xian-Bing
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s40747-022-00965-6
- URN
-
urn:nbn:de:101:1-2023040309204329201259
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:55 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Wang, Bing-Chuan
- Guo, Jing-Jing
- Huang, Pei-Qiu
- Meng, Xian-Bing
- SpringerLink (Online service)
Other Objects (12)
A two-stage bidirectional coevolution algorithm with reverse search for constrained multiobjective optimization
A co-evolutionary algorithm with adaptive penalty function for constrained optimization
On two-stage convex chance constrained problems
Convergent Inexact Penalty Decomposition Methods for Cardinality-Constrained Problems
Constrained deformation for evolutionary optimization
Reformulation of general chance constrained problems using the penalty functions
Evolutionary algorithms for constrained optimization problems
Coevolution of teaching ability and cooperation in spatial evolutionary games
The idea of co-evolution : towards a new evolutionary holism
Smoothing of the lower-order exact penalty function for inequality constrained optimization
Evolutionary constrained multi-objective optimization: a review
Co-evolution of port business ecosystem based on evolutionary game theory
A two-stage bidirectional coevolution algorithm with reverse search for constrained multiobjective optimization
A co-evolutionary algorithm with adaptive penalty function for constrained optimization
On two-stage convex chance constrained problems
Convergent Inexact Penalty Decomposition Methods for Cardinality-Constrained Problems
Constrained deformation for evolutionary optimization
Reformulation of general chance constrained problems using the penalty functions
Evolutionary algorithms for constrained optimization problems
Coevolution of teaching ability and cooperation in spatial evolutionary games
The idea of co-evolution : towards a new evolutionary holism
Smoothing of the lower-order exact penalty function for inequality constrained optimization
Evolutionary constrained multi-objective optimization: a review
Co-evolution of port business ecosystem based on evolutionary game theory
A two-stage bidirectional coevolution algorithm with reverse search for constrained multiobjective optimization
A co-evolutionary algorithm with adaptive penalty function for constrained optimization
On two-stage convex chance constrained problems
Convergent Inexact Penalty Decomposition Methods for Cardinality-Constrained Problems
Constrained deformation for evolutionary optimization
Reformulation of general chance constrained problems using the penalty functions
Evolutionary algorithms for constrained optimization problems
Coevolution of teaching ability and cooperation in spatial evolutionary games
The idea of co-evolution : towards a new evolutionary holism
Smoothing of the lower-order exact penalty function for inequality constrained optimization
Evolutionary constrained multi-objective optimization: a review