@article{1433761,
      recid = {1433761},
      author = {Cuevas, Erik. and Rodríguez, Alma and Alejo-Reyes,  Avelina. and Del-Valle-Soto, Carolina.},
      title = {Recent metaheuristic computation schemes in engineering /},
      pages = {1 online resource (xi, 277 pages)},
      abstract = {This book includes two objectives. The first goal is to  present advances and developments which have proved to be  effective in their application to several complex problems.  The second objective is to present the performance  comparison of various metaheuristic techniques when they  face complex optimization problems. The material has been  compiled from a teaching perspective. Most of the problems  in science, engineering, economics, and other areas can be  translated as an optimization or a search problem.  According to their characteristics, some problems can be  simple that can be solved by traditional optimization  methods based on mathematical analysis. However, most of  the problems of practical importance in engineering  represent complex scenarios so that they are very hard to  be solved by using traditional approaches. Under such  circumstances, metaheuristic has emerged as the best  alternative to solve this kind of complex formulations.  This book is primarily intended for undergraduate and  postgraduate students. Engineers and application developers  can also benefit from the book contents since it has been  structured so that each chapter can be read independently  from the others, and therefore, only potential interesting  information can be quickly available for solving an  industrial problem at hand.},
      url = {http://library.usi.edu/record/1433761},
      doi = {https://doi.org/10.1007/978-3-030-66007-9},
}