Structural analysis of Pareto-optimal solution sets for multi-objective optimization: An application to outer window design problems using Multiple Objective Genetic Algorithms

2010 ◽  
Vol 45 (5) ◽  
pp. 1144-1152 ◽  
Author(s):  
Kentaro Suga ◽  
Shinsuke Kato ◽  
Kyosuke Hiyama
Keyword(s):  
Genetic Algorithms ◽  
Structural Analysis ◽  
Optimal Solution ◽  
Pareto Optimal Solution ◽  
Multiple Objective ◽  
Pareto Optimal ◽  
Multi Objective Optimization ◽  
Design Problems ◽  
Solution Sets ◽  
Window Design

Multi-Objective Optimization Algorithm Design and Implementation of Mobile Base Station Site Selection

2010 ◽  
Vol 29-32 ◽  
pp. 2496-2502
Author(s):  
Min Wang ◽  
Jun Tang
Keyword(s):  
Site Selection ◽  
Engineering Application ◽  
Optimal Solution ◽  
Base Station ◽  
Pareto Optimal Solution ◽  
Antibody Concentration ◽  
Pareto Optimal ◽  
Memory Cells ◽  
Multi Objective Optimization ◽  
Multi Objective

The number of base station location impact the network quality of service. A new method is proposed based on immune genetic algorithm for site selection. The mathematical model of multi-objective optimization problem for base station selection and the realization of the process were given. The use of antibody concentration selection ensures the diversity of the antibody and avoiding the premature convergence, and the use of memory cells to store Pareto optimal solution of each generation. A exclusion algorithm of neighboring memory cells on the updating and deleting to ensure that the Pareto optimal solution set of the distribution. The experiments results show that the algorithm can effectively find a number of possible base station and provide a solution for the practical engineering application.

Grillage Optimization with Multiple Objectives

2006 ◽  
Vol 306-308 ◽  
pp. 517-522
Author(s):  
Ki Sung Kim ◽  
Kyung Su Kim ◽  
Ki Sup Hong
Keyword(s):  
Structural Optimization ◽  
Structural Design ◽  
Optimal Solution ◽  
Optimization Methods ◽  
Pareto Optimal Solution ◽  
Multiple Objectives ◽  
Pareto Optimal ◽  
Design Environment ◽  
Design Problems ◽  
Solution Methods

The structural design problems are acknowledged to be commonly multicriteria in nature. The various multicriteria optimization methods are reviewed and the most efficient and easy-to-use Pareto optimal solution methods are applied to structural optimization of grillages under lateral uniform load. The result of the study shows that Pareto optimal solution methods can easily be applied to structural optimization with multiple objectives, and the designer can have a choice from those Pareto optimal solutions to meet an appropriate design environment.

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