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EUMAS
2006
14 years 11 months ago
E*plore-ing the Simulation Design Space
One of the major puzzles in performing multi-agent-based simulations is the validity of their results. Optimisation of simulation parameters can lead to results that can be deceit...
Luis Antunes, Helder Coelho, João Balsa
66
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GPEM
2007
71views more  GPEM 2007»
14 years 9 months ago
Integrating generative growth and evolutionary computation for form exploration
We present a novel means of algorithmically describing a growth process that is an extension of Lindenmayer’s Map L-systems. This growth process relies upon a set of rewrite rule...
Una-May O'Reilly, Martin Hemberg
CEC
2008
IEEE
15 years 4 months ago
High-level synthesis with multi-objective genetic algorithm: A comparative encoding analysis
— The high-level synthesis process involves three interdependent and NP-complete optimization problems: (i) the operation scheduling, (ii) the resource allocation, and (iii) the ...
Christian Pilato, Daniele Loiacono, Fabrizio Ferra...
76
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AHS
2006
IEEE
104views Hardware» more  AHS 2006»
14 years 11 months ago
Evolutionary Design of Digital Circuits: Where Are Current Limits?
The objective of this paper is to classify the approaches proposed to the evolutionary digital circuit design in the recent years and to identify the levels of complexity and inno...
Lukás Sekanina
SAMOS
2007
Springer
15 years 3 months ago
An Evolutionary Approach to Area-Time Optimization of FPGA designs
—This paper presents a new methodology based on evolutionary multi-objective optimization (EMO) to synthesize multiple complex modules on programmable devices (FPGAs). It starts ...
Fabrizio Ferrandi, Pier Luca Lanzi, Gianluca Paler...