Cost Optimization of a Localized Irrigation System Using Genetic Algorithms

2010 ◽  
pp. 29-36 ◽  
Author(s):  
Mônica Sakuray Pais ◽  
Júlio César Ferreira ◽  
Marconi Batista Teixeira ◽  
Keiji Yamanaka ◽  
Gilberto Arantes Carrijo
Keyword(s):  
Genetic Algorithms ◽  
Irrigation System ◽  
Cost Optimization

Multi-stage production cost optimization of semi-rigid steel frames using genetic algorithms

2009 ◽  
Vol 31 (11) ◽  
pp. 2766-2778 ◽  
Author(s):  
Nizar Bel Hadj Ali ◽  
Mohamed Sellami ◽  
Anne-Françoise Cutting-Decelle ◽  
Jean-Claude Mangin
Keyword(s):  
Genetic Algorithms ◽  
Production Cost ◽  
Cost Optimization ◽  
Steel Frames ◽  
Multi Stage

Cost optimization of feed mixes by genetic algorithms

2009 ◽  
Vol 40 (10) ◽  
pp. 965-974 ◽  
Author(s):  
M. Akif Şahman ◽  
Mehmet Çunkaş ◽  
Şeref İnal ◽  
Fatma İnal ◽  
Behiç Coşkun ◽  
...  
Keyword(s):  
Genetic Algorithms ◽  
Cost Optimization

scholarly journals Optimum Design of Pile Foundation by Automatic Grouping Genetic Algorithms

2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
Xiaofeng Liu ◽  
Gengdong Cheng ◽  
Bo Wang ◽  
Shuzhi Lin
Keyword(s):  
Genetic Algorithms ◽  
Cost Optimization ◽  
Minimum Cost ◽  
Design Stage ◽  
Cardinality Constraint ◽  
Design Constraints ◽  
Concurrent Optimization ◽  
Modular Method ◽  
Automatic Grouping ◽  
Pile Length

This paper studies the optimum conceptual design of pile foundations at the initial design stage. A modular method is proposed, which divides the foundation into modules and each module is identified by its characteristics of pile length, diameter, number and layout. Modules with the same characteristics may be packed and represented by a design variable. A minimum-cost optimization model with multiple design constraints based on Chinese code and a cardinality constraint is built to achieve the concurrent optimization of pile size and layout. The model is solved by the improved automatic grouping genetic algorithms to obtain the design with optimal variables and optimal variable grouping. A practical example demonstrates the effectiveness of the proposed approach.

Cost optimization of composite beams using genetic algorithms

2009 ◽  
Vol 40 (11) ◽  
pp. 1112-1118 ◽  
Author(s):  
Ahmed B. Senouci ◽  
Mohammed S. Al-Ansari
Keyword(s):  
Genetic Algorithms ◽  
Cost Optimization ◽  
Composite Beams
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