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Handbook of Heuristics / / edited by Rafael Martí, Panos M. Pardalos, Mauricio G.C. Resende



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Autore: Martí Rafael Visualizza persona
Titolo: Handbook of Heuristics / / edited by Rafael Martí, Panos M. Pardalos, Mauricio G.C. Resende Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Edizione: 2nd ed. 2025.
Descrizione fisica: 1 online resource (0 pages)
Disciplina: 518.1
Soggetto topico: Algorithms
Mathematical optimization
Mathematical analysis
Engineering mathematics
Engineering - Data processing
Computer science - Mathematics
Computer software
Optimization
Analysis
Mathematical and Computational Engineering Applications
Mathematical Applications in Computer Science
Mathematical Software
Altri autori: PardalosPanos M  
ResendeMauricio G. C  
Nota di contenuto: Adaptive and Multi-Level Metaheuristics -- Biased Random-Key Genetic Programming -- Data Mining in Heuristics -- Deep Learning in Search Heuristics -- Evolution Strategies -- Evolutionary Algorithms -- Innovative Applications of Metaheuristics to Supervised Machine Learning -- Matheuristics by Examples -- Multi-start Methods -- Multiobjective Optimization -- Quantum-Inspired Heuristics -- Restart Strategies -- Simheuristics -- The Hybrid Metaheuristic CMSA -- Constraint-Based Local Search -- Guided Local Search -- Theory of Local Search.
Sommario/riassunto: The handbook of heuristics consists of five main parts: search strategies, local search, metaheuristics, analysis and implementations, and applications. They cover from search methods and methodological aspects, such as matheuristics, the exciting field in which mathematical programming is combined with heuristics, to applications that provide the practitioner with a description of some relevant optimization issues in a number of specific application areas, such as scheduling, vehicle routing, or network optimization. The first edition of the Handbook of Heuristics was published in 2018 and contained 47 chapters. In this second edition, the authors revised 30 of them to include new developments in the area that appeared in the last few years. In particular, the reader may find 14 chapters in search strategies, including a new chapter on deep learning, 4 in local search, 14 in metaheuristics, 5 in analysis and implementations, and 24 in applications. The inclusion of 14 new chapters makes this second edition even more comprehensive, totaling 61 chapters.
Titolo autorizzato: Handbook of Heuristics  Visualizza cluster
ISBN: 3-032-00385-7
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9911034939503321
Lo trovi qui: Univ. Federico II
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Serie: Mathematics and Statistics Series