Decomposition-Based Multiobjective Optimization with Invasive Weed Colonies
In order to solve the multiobjective optimization problems efficiently, this paper presents a hybrid multiobjective optimization algorithm which originates from invasive weed optimization (IWO) and multiobjective evolutionary algorithm based on decomposition (MOEA/D), a popular framework for multiob...
Main Authors: | Yanyan Tan, Xue Lu, Yan Liu, Qiang Wang, Huaxiang Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2019-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2019/6943921 |
Similar Items
-
Synthesis of Phase-Only Reconfigurable Linear Arrays Using Multiobjective Invasive Weed Optimization Based on Decomposition
by: Yan Liu, et al.
Published: (2014-01-01) -
A New Multiobjective Evolutionary Algorithm Based on Decomposition of the Objective Space for Multiobjective Optimization
by: Cai Dai, et al.
Published: (2014-01-01) -
Multiobjective Cloud Particle Optimization Algorithm Based on Decomposition
by: Wei Li, et al.
Published: (2015-04-01) -
A Multiobjective Optimization Algorithm Based on Discrete Bacterial Colony Chemotaxis
by: Zhigang Lu, et al.
Published: (2014-01-01) -
Decomposition based evolutionary methods for constrained multiobjective optimization
by: Jan, Muhammad Asif
Published: (2011)