Date: 27th January 2021, Time: 07:30 PM to 09:30 PM via Cisco Webex platform
Co-sponsor: Department of Computer Science and Engineering, National Institute of Technology, Patna, India
Resource Person (s): Prof. Alice Smith, Auburn University
Number of attendees: 61 (IEEE: 7)
Abstract: This presentation will put forth several straightforward but successful implementations of natural systems inspired optimization for the design of complex systems. These nature-based paradigms range in fidelity with their natural systems origins but seek to leverage the structures and operations of nature doing what it does best –system optimization, adaptability to dynamic environments, robustness, and flexibility. More specifically, the well-known, but often misunderstood and misused, natural system computational paradigms of evolutionary strategies and particle swarm optimization will be considered for use. The three design problems showcased in this talk are diverse and one of them is bi objective optimized to identify a Pareto set of non-dominated designs. The applications are (1) the location of semi-obnoxious facilities in municipalities considering transport costs and social costs, (2) the design of large order picking warehouses considering travel distance, and (3) ad hoc network connectivity through drone positioning. The talk will also cover briefly the book edited by Alice E. Smith: Women in Industrial and Systems Engineering: Key Advances and Perspectives on Emerging Topics (ALICE E. SMITH, editor), Springer.
