Mass Spectrometry Of The Metabolomes Of Human Serum And Of Yeast Fermentations

Closed-loop, multiobjective optimization of analytical instrumentation: gas chromatography/time-of-flight mass spectrometry of the metabolomes of human serum and of yeast fermentations.

ABSTRACT
The number of instrumental parameters controlling modern analytical apparatus can be substantial, and varying them systematically to optimize a particular chromatographic separation, for example, is out of the question because of the astronomical number of combinations that are possible (i.e., the “search space” is very large).… Read more

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Automated Design of Spacecraft Systems Power Subsystems

ABSTRACT
This report discusses the application of evolutionary computing to a dynamic space vehicle power subsystem resource and performance simulation in a parallel processing environment. Our objective is to demonstrate the feasibility, application and advantage of using evolutionary computation techniques for the early design search and optimization of space systems. With this approach, engineers specify several sets of conditional subsystem performance criteria to trade off subsystem goals of mass, cost, performance and risk.… Read more

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Artificial Evolution To Test And Challenge Complex Control Systems

EXCERPTS

Problem Statement:

•Use evolutionary computing to search vast space of possible challenges

•Identify particularly problematic combinations of challenges

•Study effects of random vs. correlated challenges

Inevitable: any complex system has loopholes and loopholes can (and will) be exploited, e.g. Tax code, Software, Frequent flier programs, Health care, Medicare, 1996 Telecommunications act, NBA rules, Elections, Power grid, Water distribution

Overview:

•Background: Design of Complex Systems

•Evolutionary Testing of Complex Systems

Evolutionary Computation: Individuals are represented by genetic string

Evolutionary/Adaptive Testing:

• Identify failure modes in complex systems
• Engineers can only test a small fraction of all possible configurations and damage scenarios
• Possible to find small investments that will dramatically improve robustness?

… Read more

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Game Theory for Wireless Sensor Networks

RELATED EVENTS
2006 6th International Conference on ITS Telecommunications; Chegdu, China. 21–23 June 2006
2010 IEEE INFOCOM Conference on Computer Communications; San Diego, CA, USA. 14–19 March 2010
2011 IEEE International Conference on Communications; Kyoto, Japan. 5–9 June 2011.

ABSTRACT
Game theory (GT) is a mathematical method that describes the phenomenon of conflict and cooperation between intelligent rational decision-makers.… Read more

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Use Of Evolutionary Algorithms In Data Mining

RESOURCES FOR EVOLUTIONARY ALGORITHMS IN DATA MINING
With evolutionary algorithms rapidly gaining acceptance in data mining, there are a variety of resources that the interested researcher can refer to for the most recent advances in the field. There are several conferences held in the various topics covered in this chapter, including the EvoIASP conferences organized by the Working Group on Evolutionary Algorithms in Image Analysis and Signal Processing (2001), Knowledge Discovery and Data Mining (KDD), International Conference on Machine Learning (ICML), and the Genetic and Evolutionary Computation Conference (GECCO).… Read more

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Bio-Inspired Algorithms Applied To Molecular Docking Simulations

ABSTRACT
Nature as a source of inspiration has been shown to have a great beneficial impact on the development of new computational methodologies. In this scenario, analyses of the interactions between a protein target and a ligand can be simulated by biologically inspired algorithms (BIAs). These algorithms mimic biological systems to create new paradigms for computation, such as neural networks, evolutionary computing, and swarm intelligence.… Read more

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Methods For Optimizing Statistical Analysis In Pharmacogenomics Research

ABSTRACT

Pharmacogenomics is a rapidly developing sector of human genetics research with arguably the highest potential for immediate benefit. There is a considerable body of evidence demonstrating that variability in drug-treatment response can be explained in part by genetic variation. Subsequently, much research has ensued and is ongoing to identify genetic variants associated with drug-response phenotypes.… Read more

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Efficient Discovery Of Anti-Inflammatory Small-Molecule Combinations Using Evolutionary Computing

ABSTRACT
The control of biochemical fluxes is distributed, and to perturb complex intracellular networks effectively it is often necessary to modulate several steps simultaneously. However, the number of possible permutations leads to a combinatorial explosion in the number of experiments that would have to be performed in a complete analysis. We used a multiobjective evolutionary algorithm to optimize reagent combinations from a dynamic chemical library of 33 compounds with established or predicted targets in the regulatory network controlling IL-1β expression.… Read more

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Graduated Embodiment For Sophisticated Agent Evolution And Optimization

ABSTRACT
We summarize the results of a project to develop evolutionary computing methods for the design of behaviors of embodied agents in the form of autonomous vehicles. We conceived and implemented a strategy called graduated embodiment. This method allows high-level behavior algorithms to be developed using genetic programming methods in a low-fidelity, disembodied modeling environment for migration to high-fidelity, complex embodied applications.… Read more

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PatternLab For Proteomics: A Tool For Differential Shotgun Proteomics

ABSTRACT

BACKGROUND:
A goal of proteomics is to distinguish between states of a biological system by identifying protein expression differences. Liu et al. demonstrated a method to perform semi-relative protein quantitation in shotgun proteomics data by correlating the number of tandem mass spectra obtained for each protein, or “spectral count”, with its abundance in a mixture; however, two issues have remained open: how to normalize spectral counting data and how to efficiently pinpoint differences between profiles.… Read more

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