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» A Method for Utilizing Diploid Dominance in Genetic Search
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GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
13 years 9 months ago
A robust evolutionary framework for multi-objective optimization
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
Kalyanmoy Deb
GECCO
2008
Springer
363views Optimization» more  GECCO 2008»
13 years 9 months ago
Towards high speed multiobjective evolutionary optimizers
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder
ICPPW
2005
IEEE
14 years 2 months ago
Gene Ordering in Microarray Data Using Parallel Memetic Algorithms
This paper addresses the Microarray Gene Ordering problem. It consists in ordering a set of genes, grouping together the ones with similar behavior. This behavior can be measured ...
Alexandre Mendes, Carlos Cotta, Vinícius Ga...
TASE
2010
IEEE
13 years 3 months ago
Optimization of Group Elevator Scheduling With Advance Information
Group elevator scheduling has received considerable attention due to its importance to transportation efficiency for mid-rise and high-rise buildings. One important trend to improv...
Jin Sun, Qianchuan Zhao, Peter B. Luh
AAAI
1998
13 years 9 months ago
Fast Probabilistic Modeling for Combinatorial Optimization
Probabilistic models have recently been utilized for the optimization of large combinatorial search problems. However, complex probabilistic models that attempt to capture interpa...
Shumeet Baluja, Scott Davies