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PPSN
2000
Springer
15 years 9 months 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»
16 years 6 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»
16 years 18 days 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»
16 years 22 days 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»
15 years 4 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