Sample Clients
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Bethlehem Health Bureau
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Physicians Choice Medical Group
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Boston Foundation For Sight
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Healthcare Receivable Specialists, Inc
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Southern Alberta Polytechnique Institute
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Saint Vincent College
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North Austin Municipal District
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Mount Royal University
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Northwest Missouri State University
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Northeastern University Honors Program
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National Society of Real Estate Appraisers
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Gloucester Township Board of Education
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Pioneer Electronics
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Passages Counseling Center
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Industrial Council of Nearwest Chicago
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Simi Valley Hospital
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Mt. Diablo Unified School District
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Radisson Greens Golf Club
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Key Medical Resources, Inc.
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Association of Health Care Journalists
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Research through Genetic Algorithms
PeoriaDesignWeb.com is committed to researching new technology and algorithms to solve
current web scheduling problems. We are developing a genetic algorithm
that is completely web based and can be run in parallel with many
servers accross the Internet. Though the application to scheduling is
not clearly defined, we feel such brain exercises help keep up in front
of leading technologies out there.
Php Genetic Algorithm script to find shortest path among various zip
codes A variation of the travelling salesman problem
Click here for the script
This web based php script lets the user enter several zip codes they
plan on travelling to. The software then uses a genetic algorithm to
generate a population of possible paths to take. Next the software
creates offspring using a fitness function based on distance of each
path.
The results show the shortest path among the entered zip codes, with
the first and last zip code being the start and end point respectively.
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