An improved shuffled complex evolution algorithm with sequence mapping mechanism for job shop scheduling problems
An Improved Shuffled Complex Evolution (ISCE) algorithm is proposed. The sequence mapping mechanism was presented. The sequence with job permutation, is adopted for encoding and decoding. A new strategy is used to improve the individuals evolution to overcome stagnation. The results show that the improved algorithm is effective to the job shop scheduling.
shuffled complex evolution sequence mapping mechanism job shop scheduling job permutation