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PPSN
2000
Springer
14 years 20 days ago
Optimizing through Co-evolutionary Avalanches
Abstract. We explore a new general-purpose heuristic for nding highquality solutions to hard optimization problems. The method, called extremal optimization, is inspired by self-or...
Stefan Boettcher, Allon G. Percus, Michelangelo Gr...
VLSID
2009
IEEE
99views VLSI» more  VLSID 2009»
14 years 9 months ago
Forecasting-Based Dynamic Virtual Channels Allocation for Power Optimization of Network-on-Chips
In this paper, we present a dynamic power management technique for optimizing the use of virtual channels in network on chips. The technique which is called dynamic virtual channe...
Amir-Mohammad Rahmani, Masoud Daneshtalab, Ali Afz...
ICRA
2007
IEEE
146views Robotics» more  ICRA 2007»
14 years 3 months ago
Interactive Motion Control of Deformable Objects Using Localized Optimal Control
—In this paper we present a novel interactive method and interface techniques for controlling the behavior of physically-based simulation of deformable objects. The goal of our r...
Hongjun Jeon, Min-Hyung Choi
ICC
2008
IEEE
137views Communications» more  ICC 2008»
14 years 3 months ago
Optimal Precoding for Orthogonalized Spatial Multiplexing in MIMO Wireless Systems
— This paper proposes a new precoding algorithm for orthogonalized spatial multiplexing (OSM) systems over flatfading multiple-input multiple-output (MIMO) channels. The OSM sch...
Young-Tae Kim, Heunchul Lee, Seokhwan Park, Inkyu ...
FSS
2010
147views more  FSS 2010»
13 years 7 months ago
A divide and conquer method for learning large Fuzzy Cognitive Maps
Fuzzy Cognitive Maps (FCMs) are a convenient tool for modeling and simulating dynamic systems. FCMs were applied in a large number of diverse areas and have already gained momentu...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz