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» Solving Hierarchical Optimization Problems Using MOEAs
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GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
15 years 8 months ago
Rapid prototyping using evolutionary approaches: part 1
In this paper we describe a multi-objective problem solving approach, simultaneously minimizing average surface roughness Ra and build Time T, for object manufacturing by Rapid Pr...
Nikhil Padhye, Subodh Kalia
132
Voted
ASPDAC
2007
ACM
132views Hardware» more  ASPDAC 2007»
15 years 7 months ago
Fast Decoupling Capacitor Budgeting for Power/Ground Network Using Random Walk Approach
- This paper proposes a fast and practical decoupling capacitor (decap) budgeting algorithm to optimize the power ground (P/G) network design. The new method adopts a modified rand...
Le Kang, Yici Cai, Yi Zou, Jin Shi, Xianlong Hong,...
126
Voted
ICC
2007
IEEE
203views Communications» more  ICC 2007»
15 years 9 months ago
Distributed Data Aggregation Using Clustered Slepian-Wolf Coding in Wireless Sensor Networks
—Slepian-Wolf coding is a promising distributed source coding technique that can completely remove the data redundancy caused by the spatially correlated observations in wireless...
Pu Wang, Cheng Li, Jun Zheng
141
Voted
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
15 years 7 months ago
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...
Iason Hatzakis, David Wallace
CIKM
2010
Springer
15 years 2 months ago
SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks
Community detection is an important task for mining the structure and function of complex networks. Generally, there are several different kinds of nodes in a network which are c...
Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, ...