EFFECTIVE NEIGHBOURHOOD FUNCTIONS FOR THE FLEXIBLE JOB SHOP PROBLEM

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MASTROLOLLI M.; GAMBARDELLA L.M.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF SCHEDULING Year:2000 | Volume:3 | Issue:1 Page(s): 3-20

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Information Journal Paper

Title

EFFECTIVE NEIGHBOURHOOD FUNCTIONS FOR THE FLEXIBLE JOB SHOP PROBLEM

Author(s)

MASTROLOLLI M. | GAMBARDELLA L.M. | Issue Writer Certificate

Keywords

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Abstract

Cites

SOLVING FLEXIBLE JOB-SHOP SCHEDULING PROBLEM USING HYBRID ALGORITHM BASED ON GRAVITATIONAL SEARCH ALGORITHM AND PARTICLE SWARM OPTIMIZATION
A SIMULATED ANNEALING ALGORITHM FOR MULTI OBJECTIVE FLEXIBLE JOB SHOP SCHEDULING WITH OVERLAPPING IN OPERATIONS

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APA: Copy

MASTROLOLLI, M., & GAMBARDELLA, L.M.. (2000). EFFECTIVE NEIGHBOURHOOD FUNCTIONS FOR THE FLEXIBLE JOB SHOP PROBLEM. JOURNAL OF SCHEDULING, 3(1), 3-20. SID. https://sid.ir/paper/596324/en

Vancouver: Copy

MASTROLOLLI M., GAMBARDELLA L.M.. EFFECTIVE NEIGHBOURHOOD FUNCTIONS FOR THE FLEXIBLE JOB SHOP PROBLEM. JOURNAL OF SCHEDULING[Internet]. 2000;3(1):3-20. Available from: https://sid.ir/paper/596324/en

IEEE: Copy

M. MASTROLOLLI, and L.M. GAMBARDELLA, “EFFECTIVE NEIGHBOURHOOD FUNCTIONS FOR THE FLEXIBLE JOB SHOP PROBLEM,” JOURNAL OF SCHEDULING, vol. 3, no. 1, pp. 3–20, 2000, [Online]. Available: https://sid.ir/paper/596324/en

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