The role of work-in-process inventory in serial production lines
Operations Research
Computer
Buffer size optimization in asynchronous assembly systems using genetic algorithms
Computers and Industrial Engineering
Empirical comparison of search algorithms for discrete event simulation
Computers and Industrial Engineering
Genetic Algorithms and Manufacturing Systems Design
Genetic Algorithms and Manufacturing Systems Design
Budget-Dependent Convergence Rate of Stochastic Approximation
SIAM Journal on Optimization
Buffer allocation in flow-shop-type production systems with general arrival and service patterns
Computers and Operations Research
Simulation optimization with countably infinite feasible regions: Efficiency and convergence
ACM Transactions on Modeling and Computer Simulation (TOMACS)
A comprehensive review of methods for simulation output analysis
Proceedings of the 38th conference on Winter simulation
Evolutionary computing in manufacturing industry: an overview of recent applications
Applied Soft Computing
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
GA-based solutions comparison for warehouse storage optimization
International Journal of Hybrid Intelligent Systems - Advances in Intelligent Agent Systems
Coupling simulation with heuristiclab to solve facility layout problems
Winter Simulation Conference
Sequential metamodelling with genetic programming and particle swarms
Winter Simulation Conference
Proceedings of the Winter Simulation Conference
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In this paper, we present a comparative study of different stochastic components of genetic algorithms for simulation-based optimisation of the buffer allocation problem. We explore the effects of elements such as operators, fitness assignment strategies and elitism. Three different recombination operators, incorporated with constraint handling mechanisms such as repair and penalty functions, are examined. Under the shed of the experiments, we incorporate problem specific knowledge to further enhance the practicality of GA in decision making for buffer allocation problem.