scholarly journals Multi Objective Optimization of classification rules using Cultural Algorithms

2012 ◽  
Vol 30 ◽  
pp. 457-465 ◽  
Author(s):  
Sujatha Srinivasan ◽  
Sivakumar Ramakrishnan
Keyword(s):  
Cultural Algorithms ◽  
Classification Rules ◽  
Multi Objective Optimization ◽  
Multi Objective

Multi-Population Multi-Objective Cultural Algorithm

2010 ◽  
Vol 156-157 ◽  
pp. 52-55
Author(s):  
Yi Nan Guo ◽  
Yuan Yuan Cao ◽  
Dan Dan Liu
Keyword(s):  
Optimization Problems ◽  
Effective Interaction ◽  
Search Space ◽  
Cultural Algorithms ◽  
Cultural Algorithm ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Simulation Results ◽  
Knowledge Migration ◽  
Constant Interval

In existing multi-population multi-objective cultural algorithms, information are exchanged among sub-populations by individuals. However, migrated individuals can not reflect the evolution information enough, which limits the evolution performance.In order to enhance the migration efficiency, a novel multi-population multi-objective cultural algorithm adopting knowledge migration is proposed. Implicit knowledge extracted from the evolution process of each sub-population directly reflects the information about dominant search space. By migrating the knowledge among sub-populations at the constant interval, the algorithm realizes more effective interaction with less communication cost. Taken benchmark functions as the examples, simulation results indicate that the algorithm can effectively obtain the Pareto-optimal sets of multi-objective optimization problems. The distribution performance is also improved.

A Heuristic Method Based on Multi-Objective Optimization Concept for Solving RNA Multiple Alignment

2017 ◽  
Vol 10 (5) ◽  
pp. 371
Author(s):  
Arakil Chentoufi ◽  
Abdelhakim El Fatmi ◽  
Molay Ali Bekri ◽  
Said Benhlima ◽  
Mohamed Sabbane
Keyword(s):  
Heuristic Method ◽  
Multiple Alignment ◽  
Multi Objective Optimization ◽  
Multi Objective
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