000			01676nam a22002415i 4500
999			_c36875 _d36875
001			20468797
010			_a 2018942523
020			_a9783319913391
040			_aUOWD
082			_a006.3824 EV OL
245	0	0	_aEvolutionary and swarm intelligence algorithms _cJagdish Chand Bansal; Pramod Kumar Singh; Nikhil R Pal
260			_aNew York, NY : _bSpringer, _cc2019.
300			_ax, 190 p. : _bill. ; _c25 cm.
490			_aStudies in computational intelligence ; _vVol. 779.
520			_aThis book is a delight for academics, researchers and professionals working in evolutionary and swarm computing, computational intelligence, machine learning and engineering design, as well as search and optimization in general. It provides an introduction to the design and development of a number of popular and recent swarm and evolutionary algorithms with a focus on their applications in engineering problems in diverse domains. The topics discussed include particle swarm optimization, the artificial bee colony algorithm, Spider Monkey optimization algorithm, genetic algorithms, constrained multi-objective evolutionary algorithms, genetic programming, and evolutionary fuzzy systems. A friendly and informative treatment of the topics makes this book an ideal reference for beginners and those with experience alike.
650			_aSwarm intelligence _932019
650			_aEvolutionary computation _917838
700			_aBansal, Jagdish Chand, _eEdited by _932373
700			_aSingh, Pramod Kumar, _eEdited by _939172
700			_aPal, Nikhil R., _eEdited by _939173
856			_uhttps://uowd.box.com/s/vputfhdosh2virihawmxbswm3z4qgk21 _zLocation Map
942			_2ddc _cREGULAR