Overview of Population-Based Optimization Algorithms

  Algorithm Family
Features GA ES AIS ACO DE PSO EDA
Continuous 5 5 2 1 5 5 4
Discrete 5 1 5 5 2 2 5
Mixed 1 1 - 1 1 1 1
Combinatorial 2 3 3 5 2 2 4
Complexity 4 4 3 2 5 4 1
Cost 4 4 3 3 5 5 1
P.Sensitivity 2 3 2 3 4 3 4
No of Parameters 2 3 2 3 4 4 5
MOS 5 4 4 2 5 3 2
Prior Information 2 2 3 4 2 2 5
Relative strengths and weaknesses of algorithm families for MOPs. The values in the table are relative to other algorithm families compared with the support for the particular feature. A value of 5 translates that this particular family of algorithms is very well suited for this type of problem or in general that support for a feature is strong. A "-" signifies that there is no support for a particular feature.

Back to top

Copyright © 2013 Complex Optimization and Decision Making Laboratory (CODeM). All Rights Reserved.