Bozorg-Haddad, Omid,  1974- <br/><br/>
Meta-heuristic and evolutionary algorithms for engineering optimization / 
Omid Bozorg-Haddad, Mohammad Solgi, Hugo A. Loáiciga. 
 - USA  John Wiley  2017 
 - 280 p. 
 - Wiley series in operations research and management science .
 - 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). 
<br/><br/><label>ISBN: </label>9781119386995 (cloth) 
<br/><br/><label>LCCN: </label>2017017765 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Mathematical optimization.<br/>Engineering design--Mathematics.
<br/><br/><label>LC Class. No.: </label>QA402.5  / .B695 2017 
<br/><br/><label>Dewey Class. No.: </label>620.0042015196 BOZ-O