Research Article
Multiobjective Parallel Algorithms for Solving Biobjective Open Shop Scheduling Problem
Algorithm 1
Neighborhood search simulated annealing algorithm.
(1) | Choose a gene at random. | (2) | If the selected gene is located in the first location of the chromosome, then replace it with the next gene. | ā | Otherwise, | (3) | If the selected gene is located at the last location of the chromosome replace it with the previous gene. | ā | Otherwise, | (6) | Evaluate exchanging with the two lateral genes (previous and next). | (7) | Replace the selected gene with the lateral gene that gets the most improvement. | (8) | End of condition. |
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