[PDF] Top 20 Reference group genetic algorithm for flexible job shop scheduling problem with multiple objective functions

... with genetic algorithm, Tang et ...hybrid algorithm. Chen et al. (2012) developed a scheduling algorithm for job shop scheduling problem with parallel ... See full document

... mutation operator. If none of them dominates the other, one of them is chosen according to the diversity criteria [28]. The aim of this study is to propose two hybrid algorithms based on the non-dominated sorting ... See full document

... production scheduling are concerned with the minimization of a single ...1980s, scheduling research was mainly concentrated on optimizing single performance measures such as makespan ( C ), total flowtime ... See full document

... Job shop scheduling problem is seldom considered sequence-dependent setup times because SDST scheduling problem is more ...branch-and-bound algorithm for a SDST ... See full document

... Abstract— Flexible Job Shop scheduling problem (FJSSP) is an important scheduling problem which has received considerable importance in the manufacturing ...a ... See full document

... for flexible job shop ...whole group to be processed at the predecessor ...a genetic algorithm was used in order to solve the problem and it was tested on standard ... See full document

... hybrid algorithm for the Flexible Job-Shop Scheduling Problem ...This problem involves the optimal use of resources in a flexible production environment in which ... See full document

... on scheduling jobs in FMS. Instead of a job movement, they considered the tool movement for a dynamic job shop in a tool- shared flexible manufacturing ...of flexible systems ... See full document

... decades, scheduling has grown due to increased consumer demand and global competition based on product ...Also, scheduling problems are important in all areas of manufacturing, production and productivity ... See full document

... The flexible job-shop scheduling (FJS) is a branch of production scheduling, which is NP-hard combinatorial optimization problem ...FJS problem (FJSP) is composed of two ... See full document

... described problem has been proposed and the classic MOEA/D multi-objective genetic algorithm has been tuned with customised problem-specific genetic operators: mutation and ... See full document

... Abstract: Job-shop scheduling problem is one of the most important fields in manufacturing optimization where a set of n jobs must be processed on a set of m specified ...Each job ... See full document

... The MPSO algorithm is presented in this section, which includes global search and local search. An encoding scheme and a mixed particle initialization way are given first. Then global search updates particles in ... See full document

... optimization algorithm inspired by the social behaviour of birds flocking and fishes shoaling with its ...of scheduling the optimization ...The job scheduling problem is used for ... See full document

... The flexible Job-shop Scheduling Problem (fJSP) considers the execution of jobs by a set of candidate resources while satisfying time and technological ...an algorithm where each ... See full document

... In this paper [4], author says All things considered, generation situations usually the case that the handling of an errand on a given machine requires the help of a human administrator uniquely gifted to process that ... See full document

... AFSA-HS algorithm. Another multi-objective functions such as the workload of the critical machine, the total workload of all machines, Tardiness time, and Flow time could be used for the same ... See full document

... complex problem. They study the simultaneous scheduling of production and maintenance tasks in a job ...multi-objective problem aims to minimise both the makespan and the total ... See full document

... gent algorithm has its own ...immune algorithm and applied to flexible job shop scheduling problem solving ...immune algorithm, and a better solution to the ... See full document

... to shop problems using acyclic graphs and define neighbourhood structures based on critical paths in these ...the problem, labelled with the machine to which it has been assigned, plus two nodes ... See full document