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EVI
2010
94views more  EVI 2010»
14 years 11 months ago
Collective neuro-evolution for evolving specialized sensor resolutions in a multi-rover task
This article presents results from an evaluation of the collective neuro-evolution (CONE) controller design method. CONE solves collective behavior tasks, and increases task perfor...
Geoff S. Nitschke, Martijn C. Schut, A. E. Eiben
GECCO
2000
Springer
142views Optimization» more  GECCO 2000»
15 years 7 months ago
Controlling Effective Introns for Multi-Agent Learning by Genetic Programming
This paper presents the emergence of the cooperative behavior for multiple agents by means of Genetic Programming (GP). For the purpose of evolving the effective cooperative behav...
Hitoshi Iba, Makoto Terao
TVLSI
2010
14 years 11 months ago
Resource Based Optimization for Simultaneous Shield and Repeater Insertion
A new approach for resource based optimization for high performance integrated circuits is presented. The methodology is applied to simultaneous shield and repeater insertion, resu...
Renatas Jakushokas, Eby G. Friedman
IPPS
2007
IEEE
15 years 10 months ago
Using an FPGA for Fast Bit Accurate SoC Simulation
In this paper we describe a sequential simulation method to simulate large parallel homo- and heterogeneous systems on a single FPGA. The method is applicable for parallel systems...
Pascal T. Wolkotte, Philip K. F. Hölzenspies,...
ASPDAC
2007
ACM
156views Hardware» more  ASPDAC 2007»
15 years 8 months ago
PLLSim - An Ultra Fast Bang-Bang Phase Locked Loop Simulation Tool
- This paper presents a simulation tool targeted specifically at bang-bang type phase locked loop systems. The aim of this simulator is to quickly and accurately predict important ...
Michael Chan, Adam Postula, Yong Ding