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GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
16 years 17 days ago
Mission planning for joint suppression of enemy air defenses using a genetic algorithm
In this paper we present a genetic algorithm applied to the problem of mission planning for Joint Suppression of Enemy Air Defenses (JSEAD) in support of air strike operations. Th...
Jeffrey P. Ridder, Jason C. HandUber
197
Voted
ESWA
2011
230views Database» more  ESWA 2011»
15 years 2 months ago
Multi-objective genetic algorithms for scheduling of radiotherapy treatments for categorised cancer patients
This paper presents a multi-objective optimisation model and algorithms for scheduling of radiotherapy treatments for categorised cancer patients. The model is developed considerin...
Dobrila Petrovic, Mohammad Morshed, Sanja Petrovic
166
Voted
KDD
2006
ACM
112views Data Mining» more  KDD 2006»
16 years 7 months ago
K-means clustering versus validation measures: a data distribution perspective
K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation...
Hui Xiong, Junjie Wu, Jian Chen
176
Voted
IPPS
2005
IEEE
16 years 19 days ago
Security-Driven Heuristics and A Fast Genetic Algorithm for Trusted Grid Job Scheduling
In this paper, our contributions are two-fold: First, we enhance the Min-Min and Sufferage heuristics under three risk modes driven by security concerns. Second, we propose a new ...
Shanshan Song, Yu-Kwong Kwok, Kai Hwang
239
Voted
SSPR
2004
Springer
16 years 11 days ago
Optimizing Classification Ensembles via a Genetic Algorithm for a Web-Based Educational System
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...