Comparing Evolutionary Strategies on a Biobjective Cultural Algorithm
Evolutionary algorithms have been widely used to solve large and complex optimisation problems. Cultural algorithms (CAs) are evolutionary algorithms that have been used to solve both single and, to a less extent, multiobjective optimisation problems. In order to solve these optimisation problems, C...
Saved in:
| Main Authors: | Carolina Lagos, Broderick Crawford, Enrique Cabrera, Ricardo Soto, José-Miguel Rubio, Fernando Paredes |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/745921 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application of the Artificial Bee Colony Algorithm for Solving the Set Covering Problem
by: Broderick Crawford, et al.
Published: (2014-01-01) -
Multiobjective Parallel Algorithms for Solving Biobjective Open Shop Scheduling Problem
by: Seyed Hassan Shams Lahroudi, et al.
Published: (2022-01-01) -
A Prefiltered Cuckoo Search Algorithm with Geometric Operators for Solving Sudoku Problems
by: Ricardo Soto, et al.
Published: (2014-01-01) -
A Bicriteria Approach Identifying Nondominated Portfolios
by: Javier Pereira, et al.
Published: (2014-01-01) -
An Efficient Biobjective Heuristic for Scheduling Workflows on Heterogeneous DVS-Enabled Processors
by: Pengji Zhou, et al.
Published: (2014-01-01)