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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 3 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
ICPR
2002
IEEE
16 years 4 months ago
A New Algorithm for Inexact Graph Matching
The graph is an essential data structure for representing relational information. When graphs are used to represent objects, comparing objects amounts to graph matching. Inexact g...
Adel Hlaoui, Shengrui Wang
129
Voted
GECCO
2010
Springer
176views Optimization» more  GECCO 2010»
15 years 5 months ago
A hierarchical cooperative evolutionary algorithm
To successfully search multiple coadaptive subcomponents in a solution, we developed a novel cooperative evolutionary algorithm based on a new computational multilevel selection f...
Shelly Xiaonan Wu, Wolfgang Banzhaf
ISCAS
2003
IEEE
119views Hardware» more  ISCAS 2003»
15 years 8 months ago
Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning
In this paper, the Simulated Evolution algorithm (SimE) is engineered to solve the optimization problem of multi-objective VLSI netlist bi-partitioning. The multi-objective versio...
Sadiq M. Sait, Aiman H. El-Maleh, Rush H. Al-Abuji
125
Voted
EVOW
2006
Springer
15 years 7 months ago
The Trade Off Between Diversity and Quality for Multi-objective Workforce Scheduling
In this paper we investigate and compare multi-objective and weighted single objective approaches to a real world workforce scheduling problem. For this difficult problem we consid...
Peter I. Cowling, Nic Colledge, Keshav P. Dahal, S...