The time varying cyclic job shop problem

The two proposed recombination operators follow the same design: the offspring solution is generated by assigning to each task, the machine of one of the neighboring

This motivating problem led us to address the more general problem setting where a cyclic dependence graph with uniform constraints is to be scheduled so that some tasks are grouped

By introducing a grouping constraint, this paper extends the polynomial cyclic scheduling problem of building a periodic schedule with uniform precedence constraints and no

More precisely, at each node of the search tree, we solve a robust Basic Cyclic Scheduling Problem (BCSP), which corresponds to the CJSP without resource constraints, using a

It takes as input a problem, the variable heuristic, value heuristic, best solution found thus far, the maximum objective value allowed, and a time limit (t2 for dichotomic

We first remind the Basic Cyclic Scheduling Problem (BCSP). This problem involves generic tasks and precedence constraints between tasks but no resource constraints are considered.

In the Basic Cyclic Scheduling Problem, the cycle time can be bounded (see [18]). In the following, we extend the lower and upper bounds of the Basic Cyclic Scheduling Problem to

Considering the objective of the cyclic job shop problem, the problem is to find the sequence of pieces piled up in the heap that maximize the throughput.. The following