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» A Comparison of Genetic Algorithms for the Dynamic Job Shop ...
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CEC
2007
IEEE
14 years 1 months ago
Modified genetic algorithm for job-shop scheduling: A gap utilization technique
—The Job-Shop Scheduling Problem (JSSP) is one of the most critical combinatorial optimization problems. The objective of JSSP in this research is to minimize the makespan. In th...
S. M. Kamrul Hasan, Ruhul A. Sarker, David Cornfor...
CAV
2001
Springer
107views Hardware» more  CAV 2001»
14 years 3 hour ago
Job-Shop Scheduling Using Timed Automata
In this paper we show how the classical job-shop scheduling problem can be modeled as a special class of acyclic timed automata. Finding an optimal schedule corresponds, then, to n...
Yasmina Abdeddaïm, Oded Maler
EVOW
2008
Springer
13 years 9 months ago
A Memory Enhanced Evolutionary Algorithm for Dynamic Scheduling Problems
Abstract. This paper describes a memory enhanced evolutionary algorithm (EA) approach to the dynamic job shop scheduling problem. Memory enhanced EAs have been widely investigated ...
Gregory J. Barlow, Stephen F. Smith
GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
13 years 11 months ago
Combining simplex with niche-based evolutionary computation for job-shop scheduling
We propose a hybrid algorithm (called ALPINE) between Genetic Algorithm and Dantzig's Simplex method to approximate optimal solutions for the Flexible Job-Shop Problem. Local...
Syhlin Kuah, Joc Cing Tay
CORR
2010
Springer
128views Education» more  CORR 2010»
13 years 7 months ago
A Performance Study of GA and LSH in Multiprocessor Job Scheduling
Multiprocessor task scheduling is an important and computationally difficult problem. This paper proposes a comparison study of genetic algorithm and list scheduling algorithm. Bo...
S. R. Vijayalakshmi, G. Padmavathi