Abstract
A hybrid strategy base on ant colony and taboo search algorithms is proposed for fuzzy Job Shop scheduling propose, which uses the ant colony algorithm as a global search algorithm, and adopt taboo search algorithms as a local search algorithm. TS algorithms have stronger ability of the local search, which can overcome the disadvantages of ant colony algorithms, so this hybrid strategy can improve the quality of solutions. The experimental results show that the proposed hybrid algorithm has gotten higher the average agreement index than that of taboo search algorithms and parallel genetic algorithms in solving the hard benchmark problems.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
