Computational Optimization Techniques and Applications / / edited by Muhammad Sarfraz and Samsul Ariffin Abdul Karim

• Pubblicazione: London : , : IntechOpen, , 2021; ©2021
• Descrizione fisica: 1 online resource (xiv, 244 pages) : illustrations
• Disciplina: 519.6
• Soggetto topico: Constrained optimization
• Persona (resp. second.): SarfrazMuhammad; Abdul KarimSamsul Ariffin
• Sommario/riassunto: Computational optimization is an active and important area of study, practice, and research today. It covers a wide range of applications in engineering, science, and industry. It provides solutions to a variety of real-life problems in the fields of health, business, government, military, politics, security, education, and many more. This book compiles original and innovative findings on all aspects of computational optimization. It presents various examples of optimization including cost, energy, profits, outputs, performance, and efficiency. It also discusses different types of optimization problems like nonlinearity, multimodality, discontinuity, and uncertainty. Over thirteen chapters, the book provides researchers, practitioners, academicians, military professionals, government officials, and other industry professionals with an in-depth discussion of the latest advances in the field.
• Titolo autorizzato: Computational Optimization Techniques and Applications
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910688380403321
• Lo trovi qui: Univ. Federico II