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DATE
1999
IEEE
118views Hardware» more  DATE 1999»
14 years 14 hour ago
Peak Power Estimation Using Genetic Spot Optimization for Large VLSI Circuits
Estimating peak power involves optimization of the circuit's switching function. We propose genetic spot expansion and optimization in this paper to estimate tight peak power...
Michael S. Hsiao
GECCO
2009
Springer
164views Optimization» more  GECCO 2009»
13 years 5 months ago
Solving iterated functions using genetic programming
An iterated function f(x) is a function that when composed with itself, produces a given expression f(f(x))=g(x). Iterated functions are essential constructs in fractal theory and...
Michael D. Schmidt, Hod Lipson
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
13 years 11 months ago
Genetic evolution of hierarchical behavior structures
The development of coherent and dynamic behaviors for mobile robots is an exceedingly complex endeavor ruled by task objectives, environmental dynamics and the interactions within...
Brian G. Woolley, Gilbert L. Peterson
GECCO
2003
Springer
144views Optimization» more  GECCO 2003»
14 years 27 days ago
Control of a Flexible Manipulator Using a Sliding Mode Controller with Genetic Algorithm Tuned Manipulator Dimension
The tip position control of a single-link flexible manipulator is considered in this paper. The cross-sectional dimension of the manipulator is tuned by genetic algorithms such th...
N. M. Kwok, Sam Kwong
DEXA
1998
Springer
112views Database» more  DEXA 1998»
13 years 12 months ago
Optimisation of Active Rule Agents Using a Genetic Algorithm Approach
Intelligent agents and active databases have a number of common characteristics, the most important of which is that they both execute actions by firing rules upon events occurring...
Evaggelos Nonas, Alexandra Poulovassilis