Scheduling Software for Online Appointments


Customizable and Affordable i-Scheduling
Near 100% uptime!

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Sample Clients

  • Bethlehem Health Bureau
  • Physicians Choice Medical Group
  • Boston Foundation For Sight
  • Healthcare Receivable Specialists, Inc
  • Southern Alberta Polytechnique Institute
  • Saint Vincent College
  • North Austin Municipal District
  • Mount Royal University
  • Northwest Missouri State University
  • Northeastern University Honors Program
  • National Society of Real Estate Appraisers
  • Gloucester Township Board of Education
  • Pioneer Electronics
  • Passages Counseling Center
  • Industrial Council of Nearwest Chicago
  • Simi Valley Hospital
  • Mt. Diablo Unified School District
  • Radisson Greens Golf Club
  • Key Medical Resources, Inc.
  • Association of Health Care Journalists

Research through Genetic Algorithms 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.