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DTSTAMP:20231213T131211Z
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DTSTART;TZID=US/Eastern:20231212T180000
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DESCRIPTION:This presentation will put forth four straightforward\, but suc
 cessful implementations of natural systems inspired optimization for the d
 esign of complex systems in continuous (or real) valued spaces. These natu
 re-based paradigms range in fidelity with their natural systems origins bu
 t seek to leverage the structures and operations of nature doing what it d
 oes best –system optimization\, adaptability to dynamic environments\, r
 obustness\, and flexibility. More specifically\, the well-known\, but ofte
 n misunderstood and misused\, natural system computational paradigms of ev
 olutionary strategies and particle swarm optimization will be considered. 
 The four diverse applications are (1) the location of semi-obnoxious facil
 ities in municipalities considering transport costs and social costs\, (2)
  the design of large order picking warehouses considering travel distance\
 , (3) the design of an airfoil for a flying drone considering drag and lif
 t\, and (4) ad hoc network connectivity through drone positioning.\n\nSpea
 ker(s): Alice Smith\, \n\nAgenda: \n6:00 PM - Welcome and Introductions\, 
 Chapter business update\;\n6:05 PM - Technical Talk\n7:00 PM - End of tech
 nical Talk\, Start of Q & A\n7:15 PM - Wrap Up!\n\n/* ALL TIMES are USA ES
 T/EDT */\n\nVirtual: https://events.vtools.ieee.org/m/382031
LOCATION:Virtual: https://events.vtools.ieee.org/m/382031
ORGANIZER:sharan.kalwani@ieee.org
SEQUENCE:93
SUMMARY:Nature Guided Design Optimization in Continuous Space
URL;VALUE=URI:https://events.vtools.ieee.org/m/382031
X-ALT-DESC:Description: <br /><p>This presentation will put forth four stra
 ightforward\, but successful implementations of natural systems inspired o
 ptimization for the design of complex systems in continuous (or real) valu
 ed spaces.&nbsp\; These nature-based paradigms range in fidelity with thei
 r natural systems origins but seek to leverage the structures and operatio
 ns of nature doing what it does best &ndash\;system optimization\, adaptab
 ility to dynamic environments\, robustness\, and flexibility.&nbsp\; More 
 specifically\, the well-known\, but often misunderstood and misused\, natu
 ral system computational paradigms of evolutionary strategies and particle
  swarm optimization will be considered. The four diverse applications are 
 (1) the location of semi-obnoxious facilities in municipalities considerin
 g transport costs and social costs\, (2) the design of large order picking
  warehouses considering travel distance\, (3) the design of an airfoil for
  a flying drone considering drag and lift\, and (4) ad hoc network connect
 ivity through drone positioning.</p><br /><br />Agenda: <br /><p><span sty
 le="font-family: courier new\,courier\,monospace\; font-size: 14pt\;">6:00
  PM - Welcome and Introductions\, Chapter business update\; <br />6</span>
 <span style="font-family: courier new\,courier\,monospace\; font-size: 14p
 t\;">:05 PM - Technical Talk <br />7</span><span style="font-family: couri
 er new\,courier\,monospace\; font-size: 14pt\;">:00 PM - End of technical 
 Talk\, Start of Q &amp\; A<br /></span><span style="font-family: courier n
 ew\,courier\,monospace\; font-size: 14pt\;">7:15 PM - Wrap Up</span><span 
 style="font-family: courier new\,courier\,monospace\; font-size: 14pt\;">!
 </span></p>\n<p><span style="color: #e03e2d\;"><strong>/* ALL TIMES are US
 A EST/EDT */</strong></span></p>
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