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101 0 $aeng
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181   $ctxt$2rdacontent
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200 10$aMetaheuristic Optimization in Power Engineering $eAlgorithms and Power Dispatch Using MATLAB®-Based Software, Volume 1
205   $a2nd ed.
210  1$aStevenage :$cInstitution of Engineering & Technology,$d2024.
210  4$d©2024.
215   $a1 online resource (317 pages)
225 1 $aEnergy Engineering Series
311 08$a1-83724-137-6 
327   $aCover -- Title -- Copyright -- Contents -- Excerpt from the preface to the 1st edition (2018) -- Preface to the 2nd edition (2024) -- About the author -- 1 Overview of metaheuristic optimization --   1.1 Introduction --   1.2 Definition of metaheuristics --   1.3 Classification of metaheuristics and bibliometric analysis --   1.4 Principle of population-based metaheuristics --   1.5 Evolutionary optimization algorithms --     1.5.1 Genetic algorithm --     1.5.2 Differential evolution --     1.5.3 Evolutionary programming --     1.5.4 Backtracking search algorithm --   1.6 Bio-inspired swarm intelligence algorithms --     1.6.1 Particle swarm optimization --     1.6.2 Ant colony optimization --     1.6.3 Artificial bee colony algorithm --     1.6.4 Cuckoo search algorithm --     1.6.5 Firefly algorithm --     1.6.6 Gray wolf optimizer --     1.6.7 Krill herd algorithm --     1.6.8 Bacterial colony foraging optimization --     1.6.9 Glowworm swarm optimization --     1.6.10 Differential search algorithm --     1.6.11 Marine predators algorithm --     1.6.12 Tunicate swarm algorithm$7Generated by AI.
330   $aA new edition in two volumes of the systematic and comprehensive reference on metaheuristic methods for power systems with distributed renewables, which offers MATLAB-based software, with revised and new chapters.
410  0$aEnergy Engineering Series
606   $aMetaheuristics$7Generated by AI
606   $aElectric power production$7Generated by AI
615  0$aMetaheuristics
615  0$aElectric power production
676   $a621.042015196
700   $aRadosavljevic?$b Jordan$00
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9911006707803321
996   $aMetaheuristic Optimization in Power Engineering$94389906
997   $aUNINA