Abtin Nourmohammadzadeh

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We present an new optimisation framework combining two meta-heuristics: Genetic Algorithms (GA) and Particle Swarm Optimisation (PSO). In contrast to the usual hybridisation models in which the second algorithm is applied to work on the final results of the first one, our approach uses both algorithms in parallel on the same population in a competetive(More)
This paper presents cell formation (CF) problem in dynamic condition with multiple alternative process plans and a set of alternative routes for each of process plans. Previous models paid attention to just one of the terms of process plans and routes and also they have not reflected the notion of defect rate after operations. Therefore, this paper also(More)
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