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Related Experiment Video

Updated: May 10, 2025

Directed Evolution Method in Saccharomyces cerevisiae: Mutant Library Creation and Screening

Directed Evolution Method in Saccharomyces cerevisiae: Mutant Library Creation and Screening

Published on: April 1, 2016

Outpatient Scheduling with Genetic Algorithm: The Power of Mutation Operators.

Veronika Gombás¹, Péter Bálint Scsibrán¹, Tibor Dulai¹

¹Department of Computer Science and Systems Technology, University of Pannonia, Veszprem, Hungary.

Studies in Health Technology and Informatics

|April 24, 2025

Summary

A specialized genetic algorithm significantly improves outpatient scheduling by using an exponential mutation operator. This approach enhances efficiency and minimizes examination completion times in complex scheduling tasks.

Keywords:

Outpatient scheduling genetic algorithm mutation operator

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Area of Science:

Operations Research
Computer Science
Healthcare Management

Background:

Outpatient scheduling presents significant complexity and time demands.
Optimization methods, including genetic algorithms, have been explored to address these challenges.

Purpose of the Study:

Develop a task-specific genetic algorithm for outpatient scheduling.
Evaluate the impact of various mutation operators on algorithm performance.
Minimize the earliest completion time for scheduled examinations.

Main Methods:

Designed and compared random and two heuristic mutation operators.
Assessed operator performance across four distinct scheduling scenarios.
Focused on optimizing examination scheduling.

Main Results:

The exponential mutation operator demonstrated superior performance across all scenarios.
Achieved optimal schedules in 100% of runs for simple tasks and 74.5% for complex tasks.
Outperformed random and polynomial mutation operators significantly.

Conclusions:

The choice of mutation operator critically affects genetic algorithm efficiency in outpatient scheduling.
Tailoring mutation operators to the objective function substantially enhances scheduling performance.