Though many techniques were proposed for the optimization of Permutation Flow-Shop Scheduling Problem (PFSSP), current only provide a single optimal schedule. Therefore, new algorithm is proposed, by combining k-means clustering and Genetic Algorithm (GA), multimodal PFSSP. In algorithm, first utilized to cluster individuals every generation into different clusters, based on some machine-sequen...

This paper presents the application of self organinsing migration algorithm (SOMA) to the scheduling problem of flow shop. Flow shop is regarded as the most widely utilized shop management system. Two different benchmark problems are attempted with good results obatined both in comparison with the optimal and other published heuristics. INTRODUCTION Advanced manufacturing systems often rely on ...

proper scheduling of tasks leads to optimum using of time and resources, inorder to obtaining best result. one of the most important and complicatedscheduling problems is open shop scheduling problem. there are n jobs in openshop scheduling problem which should be processed by m machines. purpose ofscheduling open shop problem is attaining to a suitable order of processing jobs byspecified mach...

In a shop floor of the industry, the routings which are based upon the jobs that need to be processed on different machines are one among the major activities and therefore the resource requirements are not based upon the quantity as in a flow shop but rather the routings for the products being produced. However, both job shop and flow shop production cope with a scheduling problem to find a fe...

Abstract Recently, The issue of energy consumption has become an that is often considered, and the manufacturing sector contributes to most significant proportion this problem. Energy-Efficient Permutation Flow Shop Scheduling Problem (EEPFSP) effective way solve This research offers a new algorithm Hybrid Multi-Verse Optimizer Algorithm (HMVO). Siz experiments are presented minimize total cons...

Flow-shop scheduling problems are classic examples of multi-resource and multi-operation optimization problems. This paper demonstrates our model simulation for solving with resource availability constraints to minimize makespan. Working hours, transfer times setup taken into account. hours could be interpreted in two ways. In the first option, operations must fit a single available time slot. ...

This paper represents the metaheuristics proposed for solving a class of Shop Scheduling problem. The Bacterial Foraging Optimization algorithm is featured with Ant Colony Optimization algorithm and proposed as a natural inspired computing approach to solve the Mixed Shop Scheduling problem. The Mixed Shop is the combination of Job Shop, Flow Shop and Open Shop scheduling problems. The sample i...