Meta-heuristic and evolutionary algorithms for engineering optimization / Omid Bozorg-Haddad, Mohammad Solgi, Hugo A. Loáiciga.
Material type: TextSeries: Wiley series in operations research and management sciencePublication details: USA John Wiley 2017Description: 280 pISBN:- 9781119386995 (cloth)
- 620.0042015196 BOZ-OÂ 23
- QA402.5Â .B695 2017
Item type | Current library | Collection | Shelving location | Call number | Status | Notes | Date due | Barcode | Item holds | |
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Books | BITS Pilani Hyderabad | 620 | General Stack (For lending) | 620.0042015196 BOZ-O (Browse shelf(Opens below)) | Available | Project Book : Prof. A Vasan | 35678 |
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Includes bibliographical references and index.
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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