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» A Fuzzy Genetic Algorithm for Real-World Job Shop Scheduling
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CEC
2007
IEEE
13 years 11 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...
KES
2006
Springer
13 years 4 months ago
Scheduling Jobs on Computational Grids Using Fuzzy Particle Swarm Algorithm
Abstract. Grid computing is a computing framework to meet the growing computational demands. This paper introduces a novel approach based on Particle Swarm Optimization (PSO) for s...
Ajith Abraham, Hongbo Liu, Weishi Zhang, Tae-Gyu C...
GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
13 years 8 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
ASC
2008
13 years 4 months ago
Development of scheduling strategies with Genetic Fuzzy systems
This paper presents a methodology for automatically generating online scheduling strategies for a complex objective defined by a machine provider. To this end, we assume independe...
Carsten Franke, Frank Hoffmann, Joachim Lepping, U...
WSC
2000
13 years 5 months ago
Simulation of an evolutionary tuned fuzzy dispatching system for automated guided vehicles
This paper presents the development and simulation of a novel Genetic Algorithm (GA) based methodology applied to optimal tuning of a fuzzy dispatching system for a fleet of autom...
Kok Kiong Tan, K. Z. Tang