03842nas|a2200409 a 4500 20260817161528.0 110110s2009 th uu|m rtt 0| a1eng d .b12088353 AIT Thesis no.ISE-09-07 Suntaree Sae-huere An adaptive particle swarm optimization algorithm for a multicommodity distribution network design problem Pathum Thani, Thailand : Asian Institute of Technology, 2009 54 p. : ill. Thesis ; no. ISE-09-07 This thesis studies a multicommodity distribution network design problem (MDNP) in the supply chain that involves locations of plants and distribution centers (DCs), and determining the best strategy to distribute the products in a distribution network. The goal of the model is to select the number, size and the location of plants and DCs in order to minimize the total relevant costs. To be more applicable in the industry, a model is formulated with the distance limitation constraint and the multi-capacity level availability for the facilities to supply each type of the products in each candidate plant and to store group products in each candidate DC. An adaptive Particle Swarm Optimization algorithm is applied to solve the problem.The parameters of particle swarm optimization to be adapted include inertia weight and acceleration constants. The algorithm is evaluated by using the benchmark problems provided by Vinaipanit (2006) and some additional randomly generated test problems. The solutions are compared with the solution from the commercial software package LINGO, GA (Vinaipanit), and GLNPSO without adaptive feature in order to verify the performance of the proposed algorithm. The results show that the proposed algorithm can solve the problem and performs well with the percentage of {u0BCC}{u0BEB}{u04A7}about 1.6 and obtain the better solution than GA in small and medium size. For large size problem, the solution is slightly inferior due to the condition of experiment that is the difference of population and iteration. Moreover, the quality of results from adaptive GLNPSO is better than non adaptive GLNPSO with the same parameters setting and significant level of 0.05. Submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Industrial and Manufacturing Engineering, School of Engineering and Technology Thesis (M.Eng.) - Asian Institute of Technology, 2009 Computer algoritms Business logistics Mathematical models Voratas Kachitvichyanukul, Chairperson Huynh, Trung Luong, Examination Committee Gong, Dah Chuan, Examination committee Royal Thai Goverment Fellowship, Scholarship donor Asian Institute of Technology. Thesis ; no. ISE-09-07 Full-Text http://203.159.5.9/ait-thesis/detail.php?q=B03250 .b12088353 mnait u 240401 0 110110 m a u 3 000:001:PDF:b1208835:000351:0:0:0:0:0:0 Abstract-AIT Thesis no.ISE-09-07 n mnait mnarc 22 40 Barcode : 30050120700900 CREATED : 2014-03-20 RECORD # : i12774637 LPATRON : 1026326 LCHKIN : 2017-02-15 # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 1 TOT CHKOUT : 3 TOT RENEW : 3 Barcode : 30050160030804 CREATED : 2016-03-16 RECORD # : i12892257 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 1620 1620 0 0 0 0 MAIN MAIN mnait 2026-08-17 50.00 0 AIT Thesis no.ISE-09-07 30050120700900 2026-08-17 16:15:28 3 2026-08-17 22 0 0 0 0 MAIN MAIN mnarc 2026-08-17 0 AIT Thesis no.ISE-09-07 30050160030804 2026-08-17 16:15:28 1 2026-08-17 40