Guessing Pareto Solutions: A Test

In yesterday’s post, I described a simple multiple-criterion decision problem (binary decisions, no constraints), and suggested a possible way to identify a portion of the Pareto frontier using what amounts to guesswork: randomly generate weights; use them to combine the multiple criteria into a single objective function; optimize that (trivial); repeat ad nauseam. I ran …

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Guessing Pareto Solutions

One of the challenges of multiple-criteria decision-making (MCDM) is that, in the absence of a definitive weighting or prioritization of criteria, you cannot talk meaningfully about a “best” solution. (Optimization geeks such as myself tend to find that a major turn-off.) Instead, it is common to focus on Pareto efficient solutions. We can say that …

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Binary / Integer Conversion in R

I’ve been poking around in R with an unconstrained optimization problem involving binary decision variables. (Trust me, it’s not as trivial as it sounds.) I wanted to explore the entire solution space. Assuming \(n\) binary decisions, this means looking at the set \(\{0,1\}^n\), which contains \(2^n\) 0-1 vectors of dimension \(n\). For reasons I won’t …

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Food Fraud Education Schedule – Quarterly Update + MOOCs Now On-Demand

REGISTRATION AND COURSES OPEN: MSU Food Fraud MOOC programs – Free Food Fraud Overview Food Fraud Audit Guide Food Defense Audit Guide Food Fraud VACCP Implementation (Food Fraud Vulnerability Assessment FFVA & Food Fraud Prevention Strategy FFPS Development) Each MOOC is offered monthly, with the content available on-demand.  Live lecture webinar updates are offered semiannually. …

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Precision Genomic Medicine and the UK

I just returned from the UK, where I attended a Ditchley Foundation Conference on machine learning and genetic engineering. The attendees included scientists, government officials, venture capitalists, ethicists, and medical professionals. The UK could become the world leader in genomic research by combining population-level genotyping with NHS health records. The application of AI to datasets …

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The Future of Genomic Precision Medicine

As I mentioned in this earlier post, I’ll be in the UK next week for a Ditchley Foundation conference on the intersection of machine learning and genetic engineering. I’ll present these slides at the meeting. The slides review the rapidly evolving situation in genomic prediction, focusing on disease risk predicted using inexpensive genotyping. There are now …

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