TY - GEN
T1 - A Cooperative Algorithm for Energy-efficient Scheduling of Distributed No-wait Flowshop
AU - Wang, Jingjing
AU - Wang, Ling
AU - Wu, Chuge
AU - Shen, Jingnan
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - This paper addresses an energy-efficient distributed no-wait flowshop scheduling problem (EEDNFSP) with the criteria of minimizing both the makespan and the total energy consumption. A cooperative algorithm is proposed to solve the EEDNFSP. First, a cooperative initialization method which hybridizes the modified Nawaz-Enscore-Ham (NEH) heuristic and random initialization is presented to generate good and diverse initial solutions. Second, based on the characteristics of such a bi-objective scheduling problem, three types of search operators are developed for three sub-problems, i.e., factory assignment, job sequence, and speed selection. Third, a cooperation mechanism for the search operators is designed to trade-off two criteria. Fourth, a local intensification component is used for exploiting better non-dominated solutions sufficiently. Moreover, an energy saving method is utilized to further improve the quality of the explored solutions. The effect of parameter setting on the cooperative algorithm is investigated by using the Taguchi method of design-of-experiment. Computational tests and comparisons are carried out, which verify the effectiveness of the proposed algorithm in solving the EEDNFSP.
AB - This paper addresses an energy-efficient distributed no-wait flowshop scheduling problem (EEDNFSP) with the criteria of minimizing both the makespan and the total energy consumption. A cooperative algorithm is proposed to solve the EEDNFSP. First, a cooperative initialization method which hybridizes the modified Nawaz-Enscore-Ham (NEH) heuristic and random initialization is presented to generate good and diverse initial solutions. Second, based on the characteristics of such a bi-objective scheduling problem, three types of search operators are developed for three sub-problems, i.e., factory assignment, job sequence, and speed selection. Third, a cooperation mechanism for the search operators is designed to trade-off two criteria. Fourth, a local intensification component is used for exploiting better non-dominated solutions sufficiently. Moreover, an energy saving method is utilized to further improve the quality of the explored solutions. The effect of parameter setting on the cooperative algorithm is investigated by using the Taguchi method of design-of-experiment. Computational tests and comparisons are carried out, which verify the effectiveness of the proposed algorithm in solving the EEDNFSP.
KW - cooperation
KW - distributed no-wait flowshop scheduling
KW - makespan
KW - multi-objective optimization
KW - total energy consumption
UR - http://www.scopus.com/inward/record.url?scp=85046119275&partnerID=8YFLogxK
U2 - 10.1109/SSCI.2017.8280956
DO - 10.1109/SSCI.2017.8280956
M3 - Conference contribution
AN - SCOPUS:85046119275
T3 - 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings
SP - 1
EP - 8
BT - 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017
Y2 - 27 November 2017 through 1 December 2017
ER -