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» On Genetic Algorithms and Lindenmayer Systems
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GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
15 years 7 months ago
Terrain generation using genetic algorithms
We propose a method for applying genetic algorithms to create 3D terrain data sets. Existing procedural algorithms for generation of terrain have several shortcomings. The most po...
TeongJoo Ong, Ryan Saunders, John Keyser, John J. ...
117
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GECCO
2007
Springer
268views Optimization» more  GECCO 2007»
15 years 8 months ago
Synthesis of analog filters on an evolvable hardware platform using a genetic algorithm
This work presents a novel approach to filter synthesis on a field programmable analog array (FPAA) architecture using a genetic algorithm (GA). First, a Matlab model of the FPA...
Joachim Becker, Stanis Trendelenburg, Fabian Henri...
GECCO
2003
Springer
103views Optimization» more  GECCO 2003»
15 years 7 months ago
Evaluation of Parameter Sensitivity for Portable Embedded Systems through Evolutionary Techniques
Power consumption and portability issues are becoming increasingly significant in embedded system architectures. Therefore, it is important that chip architects and integrated circ...
James Northern III, Michael A. Shanblatt
92
Voted
ICC
2007
IEEE
166views Communications» more  ICC 2007»
15 years 8 months ago
Dynamic Optimization of Secure Mobile Sensor Networks: A Genetic Algorithm
— We propose a reduced-complexity genetic algorithm for secure and dynamic deployment of resource constrained multi-hop mobile sensor networks. Mobility and security are relative...
Rahul Khanna, Huaping Liu, Hsiao-Hwa Chen
ENGL
2007
103views more  ENGL 2007»
15 years 1 months ago
Fault Diagnosis of Manufacturing Processes via Genetic Algorithm Approach
—Instantaneous detection and diagnosis of various faults and break-downs in industrial processes is required to reduce production losses and damage to equipments. A solved knowle...
Stefania Gallova