PPT-Particle Swarm Optimization (PSO) Technique and its Variant

Presented by Samia Abid Student MSCS Supervised by Dr Nadeem Javaid Associate Professor Department of Computer Science COMSATS Institute of Information Technology 44000 Islamabad Pakistan. Pandhapon. . Sombuntham. 108026. Background. Proposed Approaches. Experiment. Summary. Q&A. Contents. Transportation of Material. Right Time. Route Planning. Right Place. Right Quantity. ?. Background. Clustering. Ali . Qusay. . Al-. Faris. . Umi. . Kalthum. . Ngah. . Nor . Ashidi. Mat . Isa . Ibrahim . Lutfi. . Shuaib. Introduction. Breast cancer today is the leading cause of death amongst cancer patients inflicting women around the world. . 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. . Design, methods and applications. Background. Radio astronomers, interested in low frequency signals are troubled by Earth’s ionosphere, as it distorts and even blocks signals below 20 . MHz.. P.W. Brooks. . and W.D. Potter. Institute for Artificial Intelligence, University of Georgia, USA. Nature-Inspired Optimization. Overview. Background: (NIO Project. 1. ). PSO -- GA -- EO -- RO. Diagnosis – Configuration -- Planning – Route Finding. Collin . Bezrouk. 2-24-2015. Discussion Reference. Some of this material comes from . Spacecraft Trajectory Optimization. (Ch. 7) by Bruce Conway.. Optimization Problem Setup. Optimization problems require the following:. A. nalysis using the Particle . S. warm Optimization . Algorithm: Implementing a Guided Search Algorithm to . Autofit. Katherine Ervin. and Steven Shipman. New College of Florida. June 19, 2017. Inverse problem.. Perry Brown. Alexander Mathews. Image: http://www.cs264.org/2009/projects/web/Ding_Yiyang/ding-robb/pso.jpg. Introduction. Concept first introduced by Kennedy and Eberhart (1995). Original idea was to . 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. . American Health Lawyers Association March 20, 2018 |2:00-3:30 Eastern This webinar is sponsored by Michael R. Callahan Partner Katten Muchin Rosenman LLP +1.312.902.5634 michael.callahan@kattenlaw.com . 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. Exomes. /WGS. Ramesh Nair. May 31, 2013. Outline. Types of genetic variation. Framework for variant discovery. Variant calling methods and variant callers. Filtering of variants. Structural variants. Background. What is a Swarm Intelligence (SI)?. Examples from nature. Origins and Inspirations of SI. Ant Colony Optimization. Particle Swarm Optimization. What is a Swarm?. A loosely structured collection of interacting agents. “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).