Detail A Bee Colony Optimization Algorithm to Job Shop Scheduling (in Proceedings of the 2006 Winter Simulation Conference) Bibliografi Author: Chong, Chin Soon ; Low, Malcolm Yoke Hean ; Sivakumar, Appa Iyer ; Gay, Kheng Leng Bahasa: (EN )     Penerbit: IEEE Publications     Tempat Terbit: New York    Tahun Terbit: 2006     Jenis: Papers/Makalah - pada seminar internasional Fulltext: 10.1.1.109.3897.pdf (316.49KB; 5 download) Abstract In the face of globalization and rapidly shrinking product life cycle, manufacturing companies are trying different means to improve productivity through management of machine utilization and product cycle-time. Job shop scheduling is an important task for manufacturing industry in terms of improving machine utilization and reducing cycle-time. However, job shop scheduling is inherently a NPhard problem with no easy solution. This paper describes a novel approach that uses the honey bees foraging model to solve the job shop scheduling problem. Experimental results comparing the proposed honey bee colony approach with existing approaches such as ant colony and tabu search will be presented. Kajian editorial Fulltext access link: http://www.google.co.id/url?sa=t&rct=j&q=A%2BBee%2BColony%2Boptimization%2Balgorithm%2Bto%2Bjob%2Bshop%2Bscheduling.&source=web&cd=1&ved=0CBkQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.109.3897%26rep%3Drep1%26type%3Dpdf&ei=Io28TrfVHuqfiAeEvu2hBQ&usg=AFQjCNENGwLv9XDlMlt4uxvMtK3gEjnfwQ Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Lihat Sejarah Pengadaan  Konversi Metadata   Kembali

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