@article{929961,
      author = {Khosravy, Mahdi, and Gupta, Neeraj, and Patel, Nilesh, and  Senjyu, Tomonobu,},
      url = {http://library.usi.edu/record/929961},
      title = {Frontier applications of nature inspired computation /},
      abstract = {This book addresses the frontier advances in the theory  and application of nature-inspired optimization techniques,  including solving the quadratic assignment problem,  prediction in nature-inspired dynamic optimization, the  lion algorithm and its applications, optimizing the  operation scheduling of microgrids, PID controllers for  two-legged robots, optimizing crane operating times,  planning electrical energy distribution systems, automatic  design and evaluation of classification pipelines, and  optimizing wind-energy power generation plants. The book  also presents a variety of nature-inspired methods and  illustrates methods of adapting these to said applications.  Nature-inspired computation, developed by mimicking natural  phenomena, makes a significant contribution toward the  solution of non-convex optimization problems that normal  mathematical optimizers fail to solve. As such, a wide  range of nature-inspired computing approaches has been used  in multidisciplinary engineering applications. Written by  researchers and developers from a variety of fields, this  book presents the latest findings, novel techniques and  pioneering applications.},
      recid = {929961},
      pages = {1 online resource.},
}