PPT-Particle swarm optimisation (PSO)

Perry Brown Alexander Mathews Image httpwwwcs264org2009projectswebDingYiyangdingrobbpsojpg Introduction Concept first introduced by Kennedy and Eberhart 1995 Original idea was to . 1 Particle swarm optimization (PSO) algorithm models social behavior of flock of birds or school of fish. It was introduced by Eberhart and Kennedy in This research is supported by Minist . . Some of the images in this lecture come from slides for a Course in Swarm Intelligence given at :. Lecture 5: Introducing Swarm Intelligence. contents: the behavior of natural swarms and flocks -- Reynold’s rules and swarm simulation.. Pandhapon. . Sombuntham. 108026. Background. Proposed Approaches. Experiment. Summary. Q&A. Contents. Transportation of Material. Right Time. Route Planning. Right Place. Right Quantity. ?. Background. COMP308. Swarming – The Definition. aggregation of similar animals, generally cruising in the same direction. Termites swarm to build colonies. Birds swarm to find food. Bees swarm to reproduce. Swarming is Powerful. JISC . Improved Sustainability Across Estates Through The Use of ICT. Continuous Optimisation . – . an Imperial College estates. initiative reducing the carbon consumption of plant & services, and how ICT infrastructure underpins it’s delivery. the mechanism of particle swarm optimization. Bart van . Greevenbroek. Overview. Authors. The Paper. Particle Swarm . Optimization. Algorithm used with PSO. Experiment. Assessment. conclusion. Authors. Shahin Sanaye Hajari . Institute For Research in Fundamental Sciences (IPM), Tehran, Iran. CERN, Geneva, Switzerland. Contents. The physics behind the optimisation. Description of the original model . Presented by. : . Samia. . Abid. Student: MS(CS). Supervised by: Dr. . Nadeem. . Javaid. Associate Professor, Department of Computer Science, . COMSATS Institute of Information . Technology, 44000, Islamabad, Pakistan.. Katten Muchin Rosenman LLP. Host. Brenda Giordano. RN, . MN. Patient Safety Organizations:. Optimizing Protection from Discovery Under the Patient Safety Act. 0. To encourage the expansion of voluntary, provider-driven initiatives to improve the quality and safety of health care; to promote rapid learning about the underlying causes of risks and harms in the delivery of health care; and to share those findings widely, thus speeding the pace of improvement. . Patient Safety and Quality Improvement Act of 2005. Confidentiality Training. www.marylandpatientsafety.org. . 2. Training Overview. . The Patient Safety and Quality Improvement Act of 2005 (Patient Safety Act) encourages health care providers to share quality and . . Mardan Region. NBP Regional Office Mardan . NBP Main Branch Mardan. NBP . Nodeh. Branch. NBP . Katlang. Branch. NBP . Mayar. Branch. NBP . Gujrat. Branch. NBP . Rustom. Branch. NBP . Takhbai. Nils Olsen and the Swarm SCARF Team. Swarm Data Overview. Magnetic Level 1b Data assessment. SCARF: Level 2 Data Products and Processing. Model of the Earth’s magnetic field including Swarm data. Patrick . “the swarm seems more intelligent than the individual in it”; insects: “the swarm exhibits behavior that individual members cannot”. Stigmergy. : indirect communication (using signs or clues placed in the environment). Mark Worrall. Radiation Physics, Ninewells Hospital. Scottish Medical Physics Network (MPNET). Chair of the IPEM paediatric optimisation working party. Overview. Assumed knowledge:. Who are MPNET?. What is optimisation?.