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1. |
Record Nr. |
UNINA9910694852203321 |
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Titolo |
Backgrounder for the 2004 FDA/EPA consumer advisory [[electronic resource] ] : what you need to know about mercury in fish and shellfish |
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Pubbl/distr/stampa |
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[Washington, D.C.] : , : United States Environmental Protection Agency, Office of Water, , [2004] |
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Descrizione fisica |
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5 pages : digital, PDF file |
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Soggetti |
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Fish as food - Contamination - United States |
Mercury - Government policy - United States |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Title from title screen (viewed on Mar. 13, 2006). |
"March 2004." |
"EPA 823-F-04-008." |
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2. |
Record Nr. |
UNINA9910483134003321 |
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Titolo |
Evolutionary and Swarm Intelligence Algorithms / / edited by Jagdish Chand Bansal, Pramod Kumar Singh, Nikhil R. Pal |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (X, 190 p. 57 illus., 21 illus. in color.) |
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Collana |
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Studies in Computational Intelligence, , 1860-9503 ; ; 779 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Computational Intelligence |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Swarm and Evolutionary Computation -- Particle Swarm Optimization -- Artificial Bee Colony Algorithm Variants and Its Application to Colormap Quantization -- Spider Monkey Optimization Algorithm -- Genetic Algorithm and Its Advances in Embracing Memetics -- Constrained Multi-Objective Evolutionary Algorithm -- Genetic Programming for Classification and Feature Selection -- Genetic Programming for Job Shop Scheduling -- Evolutionary Fuzzy Systems: A Case Study for Intrusion Detection Systems. |
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Sommario/riassunto |
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This 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. |
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