A metaheuristic for solving flowshop problem

the algorithm for solving the inverse numerical range problem

برد عددی ماتریس مربعی a را با w(a) نشان داده و به این صورت تعریف می کنیم w(a)={x8ax:x ?s1} ، که در آن s1 گوی واحد است. در سال 2009، راسل کاردن مساله برد عددی معکوس را به این صورت مطرح کرده است : برای نقطه z?w(a)، بردار x?s1 را به گونه ای می یابیم که z=x*ax، در این پایان نامه ، الگوریتمی برای حل مساله برد عددی معکوس ارانه می دهیم.

Appling Metaheuristic Algorithms on a Two Stage Hybrid Flowshop Scheduling Problem with Serial Batching (RESEARCH NOTE)

In this paper the problem of serial batch scheduling in a two-stage hybrid flow shop environment with minimizing Makesapn is investigated. In serial batching it is assumed that jobs in a batch are processed serially, and their completion time is defined to be equal to the finishing time of the last job in the batch. The analysis and implementation of the prohibited transference of jobs among th...

Solving Fleet Scheduling Problem using Metaheuristic Algorithms

A PSO-Based Hybrid Metaheuristic for Permutation Flowshop Scheduling Problems

This paper investigates the permutation flowshop scheduling problem (PFSP) with the objectives of minimizing the makespan and the total flowtime and proposes a hybrid metaheuristic based on the particle swarm optimization (PSO). To enhance the exploration ability of the hybrid metaheuristic, a simulated annealing hybrid with a stochastic variable neighborhood search is incorporated. To improve ...

Simulated Annealing Metaheuristic for Solving P -Median Problem

We present an efficient metaheuristic based on Simulated Annealing for solving the p-Median problem. These ideas are tested on the well known OR-Lib set of problems with excellent results.