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Now showing items 1-4 of 4
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A discrete artificial bee colony algorithm for the multi-objective flexible job-shop scheduling problem with maintenance activities
Li, J.Q.; Pan, Q.K.; Tasgetiren, M.F. (ELSEVIER SCIENCE INC, 2014)This paper presents a novel discrete artificial bee colony (DABC) algorithm for solving the multi-objective flexible job shop scheduling problem with maintenance activities. Performance criteria considered are the maximum ... -
An Adaptive Iterated Greedy algorithm for distributed mixed no-idle permutation flowshop scheduling problems
Li, Y.Z.; Pan, Q.K.; Li, J.Q.; Tasgetiren, M.F.; Gao, L. (Elsevier, 2021-06)Distributed flow shop scheduling is a very interesting research topic. This paper studies the distributed permutation flow shop scheduling problem with mixed no-idle constraints, which have important applications in practice. ... -
A green scheduling algorithm for the distributed flowshop problem
Li, Y.Z.; Pan, Q.K.; Gao, K.Z.; Tasgetiren, M.F.; Zhang, B.; Li, J.Q. (Elsevier, 2021)In recent years, sustainable development and green manufacturing have attracted widespread attention to environmental problems becoming increasingly serious. Meanwhile, affected by the intensification of market competition ... -
Solving Fuzzy Job-Shop Scheduling Problem by a Hybrid PSO Algorithm
Li, J.Q.; Pan, Q.K.; Suganthan, P.N.; Tasgetiren, M.F. (SPRINGER-VERLAG BERLIN, 2012)This paper proposes a hybrid particle swarm optimization (PSO) algorithm for solving the job-shop scheduling problem with fuzzy processing times. The objective is to minimize the maximum fuzzy completion time, i.e., the ...

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