This paper reviews the literature regarding Genetic Algorithms (GAs) applied to flexible
manufacturing system (FMS) scheduling. On the basis of this literature review, a …

This paper presents an effective new island model genetic algorithm to solve the well-known
job shop scheduling problem with the objective of minimizing the makespan. To improve the …

We consider job shop scheduling problems with release and due-dates, as well as various
tardiness objectives. To date, no efficient general-purpose heuristics have been developed …

Job shop scheduling is an assignment of a number of jobs which are to be processed under
a number of machines for certain amount of time. The arrival pattern of the jobs is either …

This paper uses a genetic algorithm to solve the order-acceptance problem with tardiness
penalties. We compare the performance of a myopic heuristic and a genetic algorithm, both …

The job-shop scheduling problem is well known for its complexity as an NP-hard problem.
We have considered JSSPs with an objective of minimizing makespan while satisfying a …

This paper develops a multi-operator based differential evolution with a communication
strategy (MCDE) being integrated with a sequential Tabu Search (MCDE/TS) to solve the job …

This paper presents a new hybrid island model genetic algorithm (HIMGA) to solve the well-
known job shop scheduling problem (JSSP) with the objective of makespan minimization. To …

Many real-world optimization problems change over time and require frequent re-
optimization. We suggest that in such environments, an optimization algorithm should reflect …

Since production efficiency and costs are directly affected by the ways in which jobs are
scheduled, scholars have advanced a number of meta-heuristic algorithms to solve the job …