Asymptotic analysis of SPTA-based algorithms for no-wait flow shop scheduling problem with release dates.
We address the scheduling problem for a no-wait flow shop to optimize total completion time with release dates. With the tool of asymptotic analysis, we prove that the objective values of two SPTA-based algorithms converge to the optimal value for sufficiently large-sized problems. To further enhance the performance of the SPTA-based algorithms, an improvement scheme based on local search is provided for moderate scale problems. New lower bound is presented for evaluating the asymptotic optimality of the algorithms. Numerical simulations demonstrate the effectiveness of the proposed algorithms.
Software College, Northeastern University, Shenyang 110819, China.
Tao
T
Ren
School of Business Administration, Northeastern University, Shenyang 110819, China.
Chuan
C
Zhang
Software College, Northeastern University, Shenyang 110819, China.
Lin
L
Lin
Software College, Northeastern University, Shenyang 110819, China.
Meiting
M
Guo
Software College, Northeastern University, Shenyang 110819, China.
Xionghang
X
Xie
D000465:Algorithms; D008962:Models, Theoretical