PPT-Towards a Fast Heuristic for MINLP

John W Chinneck M Shafique Systems and Computer Engineering Carleton University Ottawa Canada Introduction Goal Find a good quality integerfeasible MINLP solution quickly Trade off accuracy for speed. Heuristic - a “rule of thumb” used to help guide search. often, something learned experientially and recalled when needed. Heuristic Function - function applied to a state in a search space to indicate a likelihood of success if that state is selected. Initialize. . the . frontier . using the . starting state. While the frontier is not empty. Choose a frontier node to expand according to . search strategy . and take it off the frontier. If the node contains the . Bart Jansen, University of Utrecht. Problem background. Geometrical problem statement. Research. Experimental evaluation of heuristics. Heuristics. Results. Conclusion. Outline. 2. Several types of analysis require accessibility . October 30, . 2014. Autumn 2014. HCI+D: User Interface Design, Prototyping, & Evaluation. 2. Pocket. By Read It Later. Hall of Fame or Shame?. Autumn 2014. HCI+D: User Interface Design, Prototyping, & Evaluation. . Pittsburgh. June 4, 2014. Marcel Hunting. . AIMMS . Software Developer. Overview. Introducing AIMMS. Generated Math Program (GMP). Outer Approximation. AIMMS . Presolver. Implement Branch-and-Bound. Ph.D. dissertation of. Fogarasi Norbert, M.Sc.. Supervisor:. Dr. Levendovszky János, D. Sc.. Doctor of the Hungarian Academy of Sciences. Department of Telecommunications. Budapest University of Technology and Economics. Heuristic - a “rule of thumb” used to help guide search. often, something learned experientially and recalled when needed. Heuristic Function - function applied to a state in a search space to indicate a likelihood of success if that state is selected. Jingtao Zhu. May 13rd,2016. “Efficient Influence Maximization . in Social Networks. ”. . Written by Chen Wei, Yajun Wang, and Siyu Yang. . Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining. unknown environment. Athanasios Ch. Kapoutsis. , Christina M. . Malliou. , Savvas A. Chatzichristofis and Elias B. . Kosmatopoulos. School of Electrical and Computer Engineering,. Democritus University of Thrace, Xanthi, Greece. Continued. Before we continue. Breadth-First. Depth-First. Uniform Cost. Iterative-Deepening. Before we continue. Breadth-First. S,A,B,D,C,G. Depth-First. S,A,C,D,B,G. Uniform Cost. S,A,B,D,C,G. Iterative-Deepening. Continued. Before We Start. HW1 extended to Monday. Submit online (now working) and bring paper print out. Questions?. Competency Demo next Wednesday. Study Guide Posted. We will have some discussion time on Monday. . SYFTET. Göteborgs universitet ska skapa en modern, lättanvänd och . effektiv webbmiljö med fokus på användarnas förväntningar.. 1. ETT UNIVERSITET – EN GEMENSAM WEBB. Innehåll som är intressant för de prioriterade målgrupperna samlas på ett ställe till exempel:. 10. . Tutorial. 1. Today’s Activity: Heuristic Evaluation. General steps:. Perform an independent assessment of which heuristics a system violates. With a small group of 4, discuss and aggregate your individual results, listed by heuristic. often, something learned experientially and recalled when needed. Heuristic Function - function applied to a state in a search space to indicate a likelihood of success if that state is selected. heuristic search methods are known as “weak methods” because of their generality and because they do not apply a great deal of knowledge .