Modern heuristic techniques for combinatorial problems
Modern heuristic techniques for combinatorial problems
Optimal allocation of inspection effort in a serial multi-stage production system
Computers and Industrial Engineering - Special issue: IE in Korea
How to solve it: modern heuristics
How to solve it: modern heuristics
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Simulation Modeling and Analysis
Simulation Modeling and Analysis
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
Fuzzy control and co-simulation for semi-active suspension based on improved genetic algorithm
International Journal of Innovative Computing and Applications
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The allocation of inspection effort in multistage manufacturing systems has been well studied over the last decades. However, joint optimisation of all inspection parameters (inspection location, inspection type, inspection limits and sampling characteristics) in order to obtain an efficient inspection strategy that results in the lowest total inspection cost, has to our knowledge not been addressed before. To solve this problem, we propose a metaheuristic solution approach, namely an evolutionary algorithm (EA). Simulation is used to calculate the inspection costs for every candidate solution. A test set of problem instances is suggested to explore the characteristics and possibilities of the proposed EA metaheuristic.