A Novel Imperialist Competitive Algorithm to Solve Flexible Flow Shop Scheduling Problem in Order to Minimize Maximum Completion Time

نویسنده

  • Edwin Cheng
چکیده

This paper demonstrates solving the flexible flow shop scheduling problem (FFSP) with considering limited waiting time constraint, sequence dependent setup times and different ready time to minimize maximum completion time (i.e. makespan). Since the problem studied is NP-hard, metaheuristic algorithms are proper to solve this class of problems. Hence, in this 1 / 4

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Novel Imperialist Competitive Algorithm to Solve Flexible Flow Shop Scheduling Problem in Order to Minimize Maximum Completion Time

This paper demonstrates solving the flexible flow shop scheduling problem (FFSP) with considering limited waiting time constraint, sequence dependent setup times and different ready time to minimize maximum completion time (i.e. makespan). Since the problem studied is NP-hard, metaheuristic algorithms are proper to solve this class of problems. Hence, in this paper, a novel imperialist competit...

متن کامل

Scheduling of a flexible flow shop with multiprocessor task by a hybrid approach based on genetic and imperialist competitive algorithms

This paper presents a new mathematical model for a hybrid flow shop scheduling problem with multiprocessor tasks in which sequence dependent set up times and preemption are considered. The objective is to minimize the weighted sum of makespan and maximum tardiness. Three meta-heuristic methods based on genetic algorithm (GA), imperialist competitive algorithm (ICA) and a hybrid approach of GA a...

متن کامل

A novel hybrid genetic algorithm to solve the make-to-order sequence-dependent flow-shop scheduling problem

Flow-shop scheduling problem (FSP) deals with the scheduling of a set of n jobs that visit a set of m machines in the same order. As the FSP is NP-hard, there is no efficient algorithm to reach the optimal solution of the problem. To minimize the holding, delay and setup costs of large permutation flow-shop scheduling problems with sequence-dependent setup times on each machine, this pap...

متن کامل

A Hybrid Approach for Fuzzy Just-In-Time Flow Shop Scheduling with Limited Buffers and Deteriorating Jobs

This paper investigates the problem of just-in-time permutation flow shop scheduling with limited buffers and linear job deterioration in an uncertain environment. The fuzzy set theory is applied to describe this situation. A novel mixed-integer nonlinear program is presented to minimize the weighted sum of fuzzy earliness and tardiness penalties. Due to the computational complexities, the prop...

متن کامل

Optimality of the flexible job shop scheduling system based on Gravitational Search Algorithm

The Flexible Job Shop Scheduling Problem (FJSP) is one of the most general and difficult of all traditional scheduling problems. The Flexible Job Shop Problem (FJSP) is an extension of the classical job shop scheduling problem which allows an operation to be processed by any machine from a given set. The problem is to assign each operation to a machine and to order the operations on the machine...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015