Optimization Design of Double-Helical Gear with High Contact Ratio

2012 ◽  
Vol 248 ◽  
pp. 91-94
Author(s):  
Ning Zhao ◽  
Peng Yuan Qiu ◽  
Sheng Wen Hou
Keyword(s):  
Genetic Algorithm ◽  
Optimization Design ◽  
Original Data ◽  
Helical Gear ◽  
Pareto Optimal ◽  
Pareto Optimal Solutions ◽  
Optimal Solutions ◽  
Contact Ratio ◽  
Helical Gears ◽  
Numerical Examples

Fast Elitist Non-dominated Sorting Genetic Algorithm is introduced in this paper to optimize the performance of double helical gears with high contact ratio.It is effective and timesaving. Numerical examples that illustrate the developed theory are provided. Feasibility of it is validated by analysis of contrast between Pareto optimal solutions and original data.

A method of multiobjective optimization using a genetic algorithm and an artificial immune system

2009 ◽  
Vol 223 (5) ◽  
pp. 1243-1252 ◽  
Author(s):  
H Park ◽  
N-S Kwak ◽  
J Lee
Keyword(s):  
Genetic Algorithm ◽  
Pattern Recognition ◽  
Immune System ◽  
Artificial Immune System ◽  
Affinity Maturation ◽  
Pareto Optimal ◽  
Mathematical Function ◽  
Pareto Optimal Solutions ◽  
Optimal Solutions ◽  
Artificial Immune

The immune system has pattern recognition capabilities based on reinforced learning, memory, and affinity maturation interacting between antigens (Ags) and antibodies (Abs). This article deals with an adaptation of artificial immune system (AIS) into genetic-algorithm (GA)-based multi-objective optimization. The present study utilizes the pattern recognition from an AIS and the evolution from a GA. Using affinity measures between Ags and Abs, GA-based immune simulation discovers a generalist Ab that represents the common pattern among Ags. Non-dominated Pareto-optimal solutions are obtained via GA-based immune simulation in which dominated designs are considered as Ags, whereas non-dominated designs are assigned to Abs. This article discusses the procedure of identifying Pareto-optimal solutions through the immune system-based pattern recognition. A number of mathematical function problems that are described by discontinuity or disconnection in the shape of Pareto surface are first examined as test examples. Subsequently, engineering optimization problems such as rotating flywheel disc and ten-bar planar truss are explored to support the present study.

scholarly journals An Imanishism-based Genetic Algorithm for sampling Various Pareto-optimal Solutions

2001 ◽  
Vol 121 (6) ◽  
pp. 992-1000
Author(s):  
Kiyoharu Tagawa ◽  
Noboru Wakabayashi ◽  
Hiromasa Haneda ◽  
Katsumi Inoue
Keyword(s):  
Genetic Algorithm ◽  
Pareto Optimal ◽  
Pareto Optimal Solutions ◽  
Optimal Solutions
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