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100
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ICGA
1993
145views Optimization» more  ICGA 1993»
14 years 11 months ago
Genetic Programming of Minimal Neural Nets Using Occam's Razor
A genetic programming method is investigated for optimizing both the architecture and the connection weights of multilayer feedforward neural networks. The genotype of each networ...
Byoung-Tak Zhang, Heinz Mühlenbein
GECCO
2008
Springer
113views Optimization» more  GECCO 2008»
14 years 11 months ago
Genetic programming based automatic gait generation for quadruped robots
This paper introduces a new approach to develop a fast gait for quadruped robot using genetic programming (GP). Several recent approaches have focused on the genetic algorithm (GA...
Kisung Seo, Soohwan Hyun
77
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EVOW
2010
Springer
15 years 5 months ago
Towards a Generic Framework for Automated Video Game Level Creation
This paper presents a generative system for the automatic creation of video game levels. Our approach is novel in that it allows high-level design goals to be expressed in a top-do...
Nathan Sorenson, Philippe Pasquier
75
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FCCM
2006
IEEE
162views VLSI» more  FCCM 2006»
15 years 4 months ago
Power Visualization, Analysis, and Optimization Tools for FPGAs
This paper introduces the Low-Power Intelligent Tool Environment (LITE), an object oriented tool set designed for power visualization, analysis, and optimization. These tools lever...
Matthew French, Li Wang, Michael J. Wirthlin
GECCO
2005
Springer
15 years 3 months ago
Function choice, resiliency and growth in genetic programming
In this paper we examine how the choice of functions in a genetic program (GP) affects the rate of code growth and the development of resilient individuals. We find that functio...
Sireesha Besetti, Terence Soule