Applied (Meta)-Heuristic in Intelligent Systems

• Autore: Yin Peng-Yeng
• Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
• Descrizione fisica: 1 online resource (184 p.)
• Soggetto topico: History of engineering & technology; Technology: general issues
• Soggetto non controllato: green energy; hyperheuristics; low carbons  matheuristics; vehicle routing; wireless networking
• Persona (resp. second.): YinPeng-Yeng
• Sommario/riassunto: Engineering and business problems are becoming increasingly difficult to solve due to the new economics triggered by big data, artificial intelligence, and the internet of things. Exact algorithms and heuristics are insufficient for solving such large and unstructured problems; instead, metaheuristic algorithms have emerged as the prevailing methods. A generic metaheuristic framework guides the course of search trajectories beyond local optimality, thus overcoming the limitations of traditional computation methods. The application of modern metaheuristics ranges from unmanned aerial and ground surface vehicles, unmanned factories, resource-constrained production, and humanoids to green logistics, renewable energy, circular economy, agricultural technology, environmental protection, finance technology, and the entertainment industry. This Special Issue presents high-quality papers proposing modern metaheuristics in intelligent systems.
• Altri titoli varianti: Applied
• Titolo autorizzato: Applied (Meta)-Heuristic in Intelligent Systems
• ISBN: 3-0365-5876-4
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910637779003321
• Lo trovi qui: Univ. Federico II