Genetic-algorithm-assisted query generation

A query generation system comprising:

• memory hardware configured to store instructions;
• and
• processor hardware configured to execute the instructions from the memory hardware, wherein the instructions include:
• optimizing a selection of query elements from among a set of candidate query elements for the plurality of domains targeted to maximize at least one of internal consistency of selected query elements and correlate the selected query elements with a reference query by:
• accessing data from prior queries to calculate the at least one of the internal consistency and the correlation,
• selecting a number of query elements for a respective domain equal to a corresponding target number of query elements,
• storing the selected query elements for the plurality of domains, and
• transmitting information identifying the selected query elements to a query execution system,
• presenting the selected query elements of the query to a subject,
• obtaining an input for each of the selected query elements,
• determining a score for the query based on the inputs for the selected query elements,
• in response to a determination that the score for the query is below a threshold score, determining whether a first time period has elapsed, and
• in response to a determination that the first time period has elapsed:
• determining a risk score,
• determining a set of engagement likelihoods for a set of communication channels, and
• based on the risk score and the set of engagement likelihoods, automatically transmitting a first communication with the query.