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» Comparison of Evolutionary Algorithms for Design Optimizatio...
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MP
2002
85views more  MP 2002»
13 years 7 months ago
From fluid relaxations to practical algorithms for job shop scheduling: the makespan objective
We design an algorithm, called the fluid synchronization algorithm (FSA), for the job shop scheduling problem with the objective of minimizing the makespan. We round an optimal sol...
Dimitris Bertsimas, Jay Sethuraman
BMCBI
2007
175views more  BMCBI 2007»
13 years 7 months ago
CLUSS: Clustering of protein sequences based on a new similarity measure
Background: The rapid burgeoning of available protein data makes the use of clustering within families of proteins increasingly important. The challenge is to identify subfamilies...
Abdellali Kelil, Shengrui Wang, Ryszard Brzezinski...
GECCO
2008
Springer
171views Optimization» more  GECCO 2008»
13 years 8 months ago
An EDA based on local markov property and gibbs sampling
The key ideas behind most of the recently proposed Markov networks based EDAs were to factorise the joint probability distribution in terms of the cliques in the undirected graph....
Siddhartha Shakya, Roberto Santana
GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
13 years 11 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
14 years 1 months ago
Informative performance metrics for dynamic optimisation problems
Existing metrics for dynamic optimisation are designed primarily to rate an algorithm’s overall performance. These metrics show whether one algorithm is better than another, but...
Stefan Bird, Xiaodong Li