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» Evolutionary algorithms and matroid optimization problems
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GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
14 years 1 months ago
Greedy, genetic, and greedy genetic algorithms for the quadratic knapsack problem
Augmenting an evolutionary algorithm with knowledge of its target problem can yield a more effective algorithm, as this presentation illustrates. The Quadratic Knapsack Problem e...
Bryant A. Julstrom
KDD
2012
ACM
263views Data Mining» more  KDD 2012»
11 years 10 months ago
Integrating community matching and outlier detection for mining evolutionary community outliers
Temporal datasets, in which data evolves continuously, exist in a wide variety of applications, and identifying anomalous or outlying objects from temporal datasets is an importan...
Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han
HM
2007
Springer
118views Optimization» more  HM 2007»
14 years 2 months ago
Evolutionary Clustering Search for Flowtime Minimization in Permutation Flow Shop
This paper deals with the Permutation Flow Shop scheduling problem with the objective of minimizing total flow time, and therefore reducing in-process inventory. A new hybrid meta...
Geraldo Ribeiro Filho, Marcelo Seido Nagano, Luiz ...
GECCO
2006
Springer
142views Optimization» more  GECCO 2006»
13 years 11 months ago
An evolutionary approach to camera-based projector calibration
In this paper, we describe a GA to solve for the orientation and lens characteristics of a projector, given images of a dome screen illuminated by the projector. We use synthetic ...
Clayton Matthew Johnson, Anu Bhat, William C. Thib...
EMO
2005
Springer
126views Optimization» more  EMO 2005»
14 years 1 months ago
The Evolution of Optimality: De Novo Programming
Abstract. Evolutionary algorithms have been quite effective in dealing with single-objective “optimization” while the area of Evolutionary Multiobjective Optimization (EMOO) h...
Milan Zeleny