This paper describes the application of a Constructive Genetic Algorithm (CGA) to makespan minimization on flowshop scheduling.
Abstract: The general flowshop scheduling problem is a production problem where a set of n jobs have to be processed with identical flow pattern on m machines.
In this paper, a polynomial algorithm for solving a special case with two jobs is proposed, and the concept of a combined job is introduced. Building on these ...
A genetic algorithm with genes-association recognition for flowshop scheduling problems · Computer Science. Journal of Intelligent Manufacturing · 2010.
The aim of this work is to bridge the gap between the theory and actual practice of production scheduling by studying a problem from a real-life ...
We have proposed a genetic algorithm based lot scheduling approach with an objective of minimizing the sum of the setup and holding costs.
Missing: Constructive | Show results with:Constructive
This work proposes new genetic algorithms for solving the permutation FSP that prove to be competitive when compared to many other well known algorithms. The ...
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Feb 4, 2015 · This paper, describes the Permutation Flowshop Scheduling Problem (PFSSP) solved by using Genetic Algorithm (GA) to minimize the makespan. The ...
In this article presents an approach based on the application of Genetic Algorithm with the help of Exponential distribution factor (EPDT), to solve the ...
A Constructive Genetic Algorithm for permutation flowshop scheduling. The general flowshop scheduling problem is a production problem where a set of n jobs ...