The Optimum Layout Research Based on the Calculation of Intelligent Automatic

Feng Pan; Ping  Lv

doi:10.4028/www.scientific.net/AMR.765-767.323

Paper Titles

Application of Research of the Relationship between Ground Stress and Fractures in the Trajectory Optimization of Horizontal Wells
p.300

Application of Underground Engineering Fire Safety Evaluation Based on the Fuzzy Comprehensive Evaluation Method
p.307

The Energy Evaluation of an Office Room Combined with a Two Stage Parabolic Trough Concentrating Photovoltaic/Thermal (TTCSPV/T) and Photovoltaic (PV) Ventilated Glazing - I. Luminous Intensity Distributions Curves (LIDC)
p.311

3D CAD Model Retrieval Based on Feature Fusion
p.316

The Optimum Layout Research Based on the Calculation of Intelligent Automatic
p.323

The Permanence of a Ratio-Dependent Lotka-Volterra Predator-Prey Model with Feedback Control
p.327

Simulation and Test of ASAC Dynamic Characteristic Based on ABAQUS
p.331

Dynamics Simulation Analysis of Impact Mechanism in Impact Vibration Roller
p.336

Stiffness Simulation Analysis of Rubber Bush Mountings Subjected to Tilting Deflection
p.341

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 765-767The Optimum Layout Research Based on the...

The Optimum Layout Research Based on the Calculation of Intelligent Automatic

Abstract:

Computational intelligent algorithm in modern life, more and more extensive application in engineering practice, is mainly used to solve the automatic layout optimization problems, the research on it has important significance. This paper mainly studies intelligent computing algorithm in automatic layout optimization problem in the application, intelligent computation algorithm contains more categories, such as genetic algorithm, ant colony algorithm, simulated annealing algorithm, the algorithm in solving automatic optimum layout problem, have its distinctive place.

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Periodical:

Advanced Materials Research (Volumes 765-767)

Pages:

323-326

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.765-767.323

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Online since:

September 2013

Authors:

Feng Pan, Ping Lv

Keywords:

Ant Colony Algorithm (ACA), Automatic Packing Optimization Problem, Genetic Algorithm (GA), Genetic Operator, Order Crossover

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