Bozorg-Haddad, Omid,  1974- <br/><br/>
Meta-heuristic and evolutionary algorithms for engineering optimization / 
Omid Bozorg-Haddad, Mohammad Solgi, Hugo A. Loáiciga. 
 - Hoboken, NJ :  Wiley,  c2017. 
 - 1 online resource. 
 - Wiley series in operations research and management science .
<br/><br/>Includes bibliographical references and index. 
<br/><br/>Overview of optimization -- Introduction to meta-heuristic and evolutionary algorithms -- Pattern search (PS) -- Genetic algorithm (GA) -- Simulated annealing (SA) -- Tabu search (TS) -- Ant colony optimization (ACO) -- Particle swarm optimization (PSO) -- Differential evolution (DE) -- Harmony search (HS) -- Shuffled frog-leaping algorithm (SFLA) -- Honey-bee mating optimization (HBMO) -- Invasive weed optimization (IWO) -- Central force optimization (CFO) -- Biogeography-based optimization (BBO) -- Firefly algorithm (FA) -- Gravity search algorithm (GSA) -- Bat algorithm (BA) -- Plant propagation algorithm (PPA) -- Water cycle algorithm (WCA) -- Symbiotic organisms search (SOS) -- Comprehensive evolutionary algorithm (CEA). 
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<br/><br/><br/>English 
<br/><br/><label>ISBN: </label>9781119387053 9781119387060 (epub) 
<br/><br/><label>LCCN: </label>2017026412 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Mathematical optimization.<br/>Engineering design--Mathematics.
<br/><br/><label>LC Class. No.: </label>QA402.5 
<br/><br/><label>Dewey Class. No.: </label>620.0042015196/HAM