@article{1435881,
      recid = {1435881},
      author = {Kulkarni, Anand Jayant, and Mezura-Montes, Efrén, and  Wang, Yong, and Gandomi, Amir Hossein, and Krishnasamy,  Ganesh,},
      title = {Constraint handling in metaheuristics and applications /},
      pages = {1 online resource (336 pages)},
      abstract = {This book aims to discuss the core and underlying  principles and analysis of the different constraint  handling approaches. The main emphasis of the book is on  providing an enriched literature on mathematical modelling  of the test as well as real-world problems with  constraints, and further development of generalized  constraint handling techniques. These techniques may be  incorporated in suitable metaheuristics providing a solid  optimized solution to the problems and applications being  addressed. The book comprises original contributions with  an aim to develop and discuss generalized constraint  handling approaches/techniques for the metaheuristics  and/or the applications being addressed. A variety of novel  as well as modified and hybridized techniques have been  discussed in the book. The conceptual as well as the  mathematical level in all the chapters is well within the  grasp of the scientists as well as the undergraduate and  graduate students from the engineering and computer science  streams. The reader is encouraged to have basic knowledge  of probability and mathematical analysis and optimization.  The book also provides critical review of the contemporary  constraint handling approaches. The contributions of the  book may further help to explore new avenues leading  towards multidisciplinary research discussions. This book  is a complete reference for engineers, scientists, and  students studying/working in the optimization, artificial  intelligence (AI), or computational intelligence arena.},
      url = {http://library.usi.edu/record/1435881},
      doi = {https://doi.org/10.1007/978-981-33-6710-4},
}