scholarly journals Genetic Algorithm Search for Stent Design Improvements

2002 ◽  
pp. 99-107 ◽  
Author(s):  
K. Tesch ◽  
M. A. Atherton ◽  
M. W. Collins
Keyword(s):  
Genetic Algorithm ◽  
Stent Design ◽  
Algorithm Search

scholarly journals ABOUT ONE APPROACH TO AHP/ANP STABILITY MEASUREMENT

2011 ◽  
Vol 3 (1) ◽  
Author(s):  
Vitaliy V Tsyganok
Keyword(s):  
Genetic Algorithm ◽  
Measurement Methods ◽  
Search Procedure ◽  
Order Preservation ◽  
Expert Estimation ◽  
Pair Comparisons ◽  
Stability Order ◽  
Stability Measurement ◽  
Alternative Ranking ◽  
Algorithm Search

<p>AHP/ANP stability measurement methods are described. In this paper we define the method's stability as the measure of its results dependence on the expert's errors, made during pair comparisons. Ranking Stability (order preservation in alternative ranking under natural expert's errors, made during expert estimation) and Estimating Stability (maintaining alternative weights within the specified maximal relative inaccuracy range) are considered. Targeted Genetic Algorithm search procedure is used for possible stability violation detection. Then division-in-half (dichotomy) method is applied to calculate stability metric of a given criteria hierarchy.</p><p>http://dx.doi.org/10.13033/ijahp.v3i1.50</p>

Damaged Ship Anti-Flooding Decision Plan Intelligent Generation System Based on Petri Net and Heuristic Color Genetic Algorithm

2013 ◽  
Vol 706-708 ◽  
pp. 1866-1870
Author(s):  
Ang Li ◽  
Jin Yun Pu
Keyword(s):  
Genetic Algorithm ◽  
Petri Net ◽  
Search Efficiency ◽  
Generation System ◽  
Plan Generation ◽  
Intelligent Decision ◽  
Balance Decision ◽  
Definition Of ◽  
Algorithm Search ◽  
Damaged Ship

No matter in the wartime or in the peace time, the intelligent generation system of damaged ship anti-flooding decision plan is an important tool to guarantee ship survivability and safety. The intelligent decision plan generation system which has high search efficiency plays an important role in recovering the buoyancy and stability indicts of damaged ship. The intelligent decision plan generation system introduced in this paper contains Petri net model and heuristic color genetic algorithm. The Petri net is used to model the ship anti-flooding decision process and the heuristic color genetic algorithm is used to solve intelligent hull balance decision problem. The traditional genetic algorithm is improved according to the special demand of hull balance. Based on the definition of the colored gene and the foundation of the heuristic search rules, the heuristic color genetic algorithm is given to improve the traditional genetic algorithm search efficiency.

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