The Job Scheduling Problem involves assigning a set of jobs to a set of machines to minimize the total completion time. Each job has a processing time, and each machine can process only one job at a ...

There are many uncertain factors in job shop scheduling problems. However, those uncertainties are critical for the scheduling procedures. The imprecise processing times are modeled as triangular ...

Learn how to apply a genetic algorithm, a metaheuristic method that mimics evolution, to solve the job shop scheduling problem, a challenging problem in operations research. Agree & Join LinkedIn ...

In order to solve the limitation of traditional genetic algorithm to solve the job shop scheduling problem, combined with the advantages of genetic algorithm (GA) and simulated annealing algorithm (SA ...

Due to the NP-hardness of the job shop scheduling problem (JSP), many heuristic approaches have been proposed; among them is the genetic algorithm (GA). In the literature, there are eight different GA ...

A hybrid genetic algorithm for the job shop scheduling problem - kwh44/hybrid_genetic_algorithm_JSSP. Skip to content. Navigation Menu Toggle navigation. Sign in Appearance ... choose the desired ...

Discover a new heuristic algorithm for solving job shop scheduling problems (JSP) efficiently. Minimize makespan using a combination of dispatching rules. Consider user-prescribed due dates for ...