Automatically designing new dispatching rules (DRs) by genetic programming has become
an increasingly researched topic. Such an approach enables that DRs can be designed …

Dispatching rules (DRs), which are simple constructive methods that incrementally build the
schedule, represent the most popular method for solving dynamic scheduling problems …

Linear genetic programming (LGP) has been successfully applied to dynamic job shop
scheduling (DJSS) to automatically evolve dispatching rules. Flow control operations are …

Scheduling is a frequently studied combinatorial optimisation problem that often needs to be
solved under dynamic conditions and to optimise multiple criteria. The most commonly used …

Scheduling represents an important aspect of many real-world processes, which is why such
problems have been well studied in the literature. Such problems are often dynamic and …

JSS (Job Shop Scheduling) is a significant and challenging combinatorial optimization
issue. Dispatching rules have been successfully used to determine scheduling decisions in …

Genetic programming (GP) is considered the most popular method for automatically
discovering and constructing dispatching rules for scheduling problems. Pareto Local …

Dynamic multi-objective (MO) scheduling problems are encountered in various real-world
situations. Due to dynamic events that occur in such problems, one has to resort to using …

Genetic Programming (GP) is a well-known technique for generating dispatching rules for
scheduling problems. A simple and cost-effective local search technique for many-objective …

Scheduling represents an important aspect of many realworld processes, which is why such
problems have been well studied in the literature. Such problems are often dynamic and …