PPT-A Heuristic for Solving the Swap-Body VRP

Oliver Lum Xingyin Wang Ping Chen Bruce Golden Edward Wasil 1 SwapBody VRP Q swapbody capacity Truck Train Models scenario in which the vehicles have detachable components and certain customers may be visited by only the smallest vehicle possible due to space constraints. 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. Feedback: Tutorial 1. Describing a state.. Entire state space vs. incremental development.. Elimination of children.. Closed and the solution path.. Generation of children – effects on search.. Heuristic Search. with graph search. Graphs. G = (V, E). V is a set of vertices, {v. 1. , …, . v. N. }. E is a set of edges between vertices, {e. 1. , …, . e. M. }. Each edge . e. i. is an ordered pair of vertices in V:. in this presentation were developed by Rowan professor Mark Hale. Professor Hale is a Cognitive . Psychologist and . Human . Factors . Specialist and very gratefully contributed his material to this course in . Introduction. Over the decades, swap bodies have demonstrated a potential to increase driver, vehicle, and warehouse efficiency, productivity, and flexibility.. Nevertheless, swap bodies are nonexistent in developing countries due to technical challenges that impede their widespread use.. 15. 2. How many passengers have gotten off the train since the first station? . 50. 3. How many passengers have gotten on the train since the first station?. 65. 4. How many stations were there? . Rhea . McCaslin. The GDS Network. Guarded Discrete Stochastic – neural network developed by Johnston and . Adorf. 2. Hubble Space Telescope. Scheduling Problem. PROBLEM: Between 10,000 – 30,000 astronomical observations per year . SWAP 2019 Improvements & Continued Focus Presented to: ATCSCC personnel SWAP 2019 New York Metro market priority continues for 2019 Airline and FAA Sr. Leadership focus Last year actions showed positive results, shown in Metrics 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. Rhea . McCaslin. The GDS Network. Guarded Discrete Stochastic – neural network developed by Johnston and . Adorf. 2. Hubble Space Telescope. Scheduling Problem. PROBLEM: Between 10,000 – 30,000 astronomical observations per year . 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. is collaborating with JSTOR to digitize preserve and extend access to7KH3KLHOWDDSSDQhttp//wwwjstororgKDWV3UREOHP6ROYLQJXWKRUVf0LFKDHO0DUWLQH6RXUFH7KH3KLHOWDDSSDQ9RO1RSUfSS3XEOLVKHGE3KLHOWDDSSDQWHUQDWL 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 . Presentation Flow. - Introduction to Problem Solving. - State-space Search. - Solution-space Search. - Constraint Satisfaction Problems. TOPICS DISCUSSED. LESSON 2: PROBLEM SOLVING. <number>. Introduction to problem solving .