TY - GEN
T1 - A Hybrid Discrete Differential Evolution Approach for the Single Machine Total Stepwise Tardiness Problem with Release Dates
AU - Srivastava, Gaurav
AU - Singh, Alok
AU - Mallipeddi, Rammohan
N1 - Publisher Copyright:
© 2021 IEEE
PY - 2021
Y1 - 2021
N2 - In this paper, a novel hybrid discrete differential evolution based approach is proposed to address a single machine scheduling problem where each job has a release date and the tardiness cost of the job increases stepwise with respect to various due dates. In the literature, this problem is termed as the single machine total stepwise tardiness problem with release dates (SMTSTP-R). The objective of the problem is to find a schedule of jobs which minimizes the total tardiness cost. The stepwise increase in tardiness cost is more prevalent in several real life scenario, especially in transportation. We have used two constructive heuristics and concept of opposition based solutions to generate initial population. Our proposed approach uses a series of local searches to further enhance the quality of solutions obtained by the proposed discrete differential evolution approach. In order to justify the superiority of proposed approach, various comparisons are done with the existing approaches available in the literature. The results of these comparisons validate the superiority of our approach in comparison to the existing state-of-the-art approaches.
AB - In this paper, a novel hybrid discrete differential evolution based approach is proposed to address a single machine scheduling problem where each job has a release date and the tardiness cost of the job increases stepwise with respect to various due dates. In the literature, this problem is termed as the single machine total stepwise tardiness problem with release dates (SMTSTP-R). The objective of the problem is to find a schedule of jobs which minimizes the total tardiness cost. The stepwise increase in tardiness cost is more prevalent in several real life scenario, especially in transportation. We have used two constructive heuristics and concept of opposition based solutions to generate initial population. Our proposed approach uses a series of local searches to further enhance the quality of solutions obtained by the proposed discrete differential evolution approach. In order to justify the superiority of proposed approach, various comparisons are done with the existing approaches available in the literature. The results of these comparisons validate the superiority of our approach in comparison to the existing state-of-the-art approaches.
KW - Discrete differential evolution
KW - Discrete optimization
KW - Scheduling
KW - Single machine total stepwise tardiness problem with release dates
UR - https://www.scopus.com/pages/publications/85124611684
U2 - 10.1109/CEC45853.2021.9504914
DO - 10.1109/CEC45853.2021.9504914
M3 - Conference contribution
AN - SCOPUS:85124611684
T3 - 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings
SP - 652
EP - 659
BT - 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE Congress on Evolutionary Computation, CEC 2021
Y2 - 28 June 2021 through 1 July 2021
ER -