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BIOINFORMATICS
2006
142views more  BIOINFORMATICS 2006»
13 years 9 months ago
Intervention in a family of Boolean networks
Motivation: Intervention in a gene regulatory network is used to avoid undesirable states, such as those associated with a disease. Several types of intervention have been studied...
Ashish Choudhary, Aniruddha Datta, Michael L. Bitt...
EMO
2009
Springer
140views Optimization» more  EMO 2009»
14 years 2 months ago
On Using Populations of Sets in Multiobjective Optimization
Abstract. Most existing evolutionary approaches to multiobjective optimization aim at finding an appropriate set of compromise solutions, ideally a subset of the Pareto-optimal se...
Johannes Bader, Dimo Brockhoff, Samuel Welten, Eck...
GECCO
2003
Springer
201views Optimization» more  GECCO 2003»
14 years 3 months ago
Solving Mastermind Using Genetic Algorithms
The MasterMind game involves decoding a secret code. The classic game is a code of six possible colors in four slots. The game has been analyzed and optimal strategies have been po...
Tom Kalisker, Doug Camens
BMCBI
2005
94views more  BMCBI 2005»
13 years 9 months ago
YANA - a software tool for analyzing flux modes, gene-expression and enzyme activities
Background: A number of algorithms for steady state analysis of metabolic networks have been developed over the years. Of these, Elementary Mode Analysis (EMA) has proven especial...
Roland Schwarz, Patrick Musch, Axel von Kamp, Bern...
AAAI
2010
13 years 11 months ago
Integrating Sample-Based Planning and Model-Based Reinforcement Learning
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
Thomas J. Walsh, Sergiu Goschin, Michael L. Littma...