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Notice of Retraction
Application of plant growth simulation algorithm for job shop scheduling

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2 Author(s)
Tang Haibo ; College of Management, University of Shanghai for Science and Technology, 200093, China ; Chunming Ye

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting

Based on Plant Growth Simulation Algorithm, we propose an intelligence optimization algorithm for solving job shop scheduling problems. Starting with the characteristic of job shop scheduling problem, combining disjunctive graph according to the sequence of scheduling, analyzing Scheduling options that decided by exchangeable set and alternative set, by simulating the process of plant growth, and then we can determine the optimal scheduling. Simulation results based on well-known benchmarks and comparisons with standard genetic algorithm demonstrate the effectiveness of the proposed bionic algorithm.

Published in:

Advanced Management Science (ICAMS), 2010 IEEE International Conference on  (Volume:1 )

Date of Conference:

9-11 July 2010