期刊全稱 | Black Box Optimization, Machine Learning, and No-Free Lunch Theorems | 影響因子2023 | Panos M. Pardalos,Varvara Rasskazova,Michael N. Vr | 視頻video | http://file.papertrans.cn/189/188926/188926.mp4 | 發(fā)行地址 | Beginners will achieve an overview of optimization methods.Researchers will gain access to to a useful reference on key topics.Mathematical rigour and heuristics approaches equip the reader with diffe | 學科分類 | Springer Optimization and Its Applications | 圖書封面 |  | 影響因子 | .This edited volume illustrates the connections between machine learning techniques, black box optimization, and no-free lunch theorems. Each of the thirteen contributions focuses on the commonality and interdisciplinary concepts as well as the fundamentals needed to fully comprehend the impact of individual applications and problems. ?Current theoretical, algorithmic, and practical methods used are provided to stimulate a new effort towards innovative and efficient solutions.?The book is intended for beginners who wish to achieve a broad overview of optimization methods and also for more experienced researchers as well as researchers in mathematics, optimization, operations research, quantitative logistics, data analysis, and statistics, who will benefit from access to a quick reference to key topics and methods. The coverage ranges from mathematically rigorous methods to heuristic and evolutionary approaches in an attempt to equip the reader with different viewpoints of the same problem.. | Pindex | Book 2021 |
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書目名稱Black Box Optimization, Machine Learning, and No-Free Lunch Theorems影響因子(影響力) 
書目名稱Black Box Optimization, Machine Learning, and No-Free Lunch Theorems影響因子(影響力)學科排名 
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書目名稱Black Box Optimization, Machine Learning, and No-Free Lunch Theorems網(wǎng)絡(luò)公開度學科排名 
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