Complete Characterization of $\epsilon$-approximate Near-Optimal Sequences for the Two-Machine Flow Shop Scheduling Problem

The simulation model corresponds to a possible organisation of a hybrid flow shop with five produc- tion stages and is briefly described in below. As input, the simulation receives

Wang and Cheng [45] studied the two-machine flow shop scheduling problem where setup times could be anticipated, an unavailability period is considered only one of the machines and

disjunctive precedence (being able to be realized by the same resource). We cannot obtain an infeasible solution since we respect the precedence and disjunctive constraints. - In

0 Problem is the instance treated. 0 UB is the upper bound obtained for the Make- span in single-objective studies. 0 M I and TI are the best Makespan and Tardi-

In a general way, according to the performance metrics used, IBEA avg glob- ally outperforms IBEA 1 and IBEA stoch for all probability distributions (except for the first

Table 4 reports the size of the critical tree for five branching rules (two static rules Forward, Alternate, and three dynamic strategies MaxSum, MinMin and MinBranch) and two

Solving to optimality large size combinatorial optimization problems (COPs) 2 using a Branch and Bound algorithm (B&B) is CPU time-consuming.. Although B&B allows to

With respect to the CUDA framework, our parallel GA consists of two levels, a fine-grained GA at the lower level and an island GA at the upper level, as presented in Fig. At the