Itti Mangkornthong creator Weerakorn Ongsakul Chairperson Nadarajah, Mithulananthan Examination Committee Wang, Yaw Juen Examination committee Royal Thai Goverment Fellowship Scholarship donor text series technical report th Pathum Thani, Thailand Asian Institute of Technology 2008 continuing eng 52 p. : ill. This thesis proposes Adaptive Particle Swarm Optimization (APSO) for Economic Dispatch (ED) with non-smooth cost functions considering valve-point effects. The practical ED problem has non-smooth cost functions subject to equality and inequality constraints which cannot be solved by conventional mathematical approaches. The APSO includes a self-adaptive weight scale to improve the convergence rate. The APSO is tested on 3 different systems ranging from 3 to 40 generators and compared to Evolutionary Programming (EP), Genetic Algorithm (GA), Simulated Annealing (SA), Tabu Search (TS), and Standard Particle Swarm Optimization (PSO). Test results indicate that the APSO generator fuel costs are less than the others, leading to generator fuel cost savings Submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Energy A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Energy Thesis (M.Eng.) - Asian Institute of Technology, 2008 Electric power distribution Economic aspects Asian Institute of Technology. http://203.159.5.9/ait-thesis/detail.php?q=B02182 http://203.159.5.9/ait-thesis/detail.php?q=B02182 090120 20260817161524.0