@article{922320,
      recid = {922320},
      author = {Dey, Nilanjan, and Ashour, Amira, and Bhattacharyya,  Siddhartha,},
      title = {Applied nature-inspired computing : algorithms and case  studies /},
      publisher = {Springer,},
      address = {Singapore :},
      pages = {1 online resource (281 pages)},
      year = {2020},
      abstract = {This book presents a cutting-edge research procedure in  the Nature-Inspired Computing (NIC) domain and its  connections with computational intelligence areas in  real-world engineering applications. It introduces readers  to a broad range of algorithms, such as genetic algorithms,  particle swarm optimization, the firefly algorithm, flower  pollination algorithm, collision-based optimization  algorithm, bat algorithm, ant colony optimization, and  multi-agent systems. In turn, it provides an overview of  meta-heuristic algorithms, comparing the advantages and  disadvantages of each. Moreover, the book provides a brief  outline of the integration of nature-inspired computing  techniques and various computational intelligence  paradigms, and highlights nature-inspired computing  techniques in a range of applications, including:  evolutionary robotics, sports training planning, assessment  of water distribution systems, flood simulation and  forecasting, traffic control, gene expression analysis,  antenna array design, and scheduling/dynamic resource  management.},
      url = {http://library.usi.edu/record/922320},
}