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The Permutation Flow Shop scheduling Problem (PFSP) is a typical combinatorial optimization problem. In order to improve the efficacy in solving the PFSP, we applied a discrete mechanism to convert the real value of individuals into discrete job sequences at first. In particular, a Chaos-based Firefly Algorithm (CFA) is used to optimize the initial population, which provided a superior initial environment...
Firefly algorithm (FA) is a new member of bionic swarm intelligence optimization algorithms. In this paper the bionic principle of FA is investigated and extended to solving a well-known NP-hard problem: Permutation Flow-Shop Scheduling Problem (PFSP). A corresponding solution strategy for PFSP bound is designed with its scheduling features. The strategy is implemented in experimentation on MATLAB...
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