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» Critical control of a genetic algorithm
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79
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GECCO
2005
Springer
125views Optimization» more  GECCO 2005»
15 years 6 months ago
Evolutionary models for maternal effects in simulated developmental systems
Maternal influence on offspring goes beyond strict nuclear (DNA) inheritance: inherited maternal mRNA, mitochondria, caring and nurturing are all additional sources that affect...
Artur Matos, Reiji Suzuki, Takaya Arita
HYBRID
2004
Springer
15 years 6 months ago
Dynamic Partitioning of Large Discrete Event Biological Systems for Hybrid Simulation and Analysis
Abstract. Biological systems involving genetic reactions are large discrete event systems, and often contain certain species that occur in small quantities, and others that occur i...
Natasha A. Neogi
100
Voted
AAAI
1998
15 years 1 months ago
Highest Utility First Search Across Multiple Levels of Stochastic Design
Manydesign problems are solved using multiple levels of abstraction, wherea design at one level has combinatorially manychildren at the next level. A stochastic optimization metho...
Louis I. Steinberg, J. Storrs Hall, Brian D. Davis...
GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
15 years 1 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
ASUNAM
2010
IEEE
14 years 11 months ago
A Multiobjective and Evolutionary Clustering Method for Dynamic Networks
—The discovery of evolving communities in dynamic networks is an important research topic that poses challenging tasks. Previous evolutionary based clustering methods try to maxi...
Francesco Folino, Clara Pizzuti