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Titlebook: Optimization and Industry: New Frontiers; Panos M. Pardalos,Victor Korotkikh Book 20031st edition Kluwer Academic Publishers 2003 algorith

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書目名稱Optimization and Industry: New Frontiers
編輯Panos M. Pardalos,Victor Korotkikh
視頻videohttp://file.papertrans.cn/704/703213/703213.mp4
叢書名稱Applied Optimization
圖書封面Titlebook: Optimization and Industry: New Frontiers;  Panos M. Pardalos,Victor Korotkikh Book 20031st edition Kluwer Academic Publishers 2003 algorith
描述Optimization from Human Genes to Cutting Edge Technologies The challenges faced by industry today are so complex that they can only be solved through the help and participation of optimization ex- perts. For example, many industries in e-commerce, finance, medicine, and engineering, face several computational challenges due to the mas- sive data sets that arise in their applications. Some of the challenges include, extended memory algorithms and data structures, new program- ming environments, software systems, cryptographic protocols, storage devices, data compression, mathematical and statistical methods for knowledge mining, and information visualization. With advances in computer and information systems technologies, and many interdisci- plinary efforts, many of the "data avalanche challenges" are beginning to be addressed. Optimization is the most crucial component in these efforts. Nowadays, the main task of optimization is to investigate the cutting edge frontiers of these technologies and systems and find the best solutions for their realization. Optimization principles are evident in nature (the perfect optimizer) and appeared early in human history. Did you ever watch how
出版日期Book 20031st edition
關(guān)鍵詞algorithms; combinatorial optimization; communication network; computer; data structures; decision suppor
版次1
doihttps://doi.org/10.1007/978-1-4613-0233-9
isbn_softcover978-1-4613-7953-9
isbn_ebook978-1-4613-0233-9Series ISSN 1384-6485
issn_series 1384-6485
copyrightKluwer Academic Publishers 2003
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Optimization and Industry: New Frontiers978-1-4613-0233-9Series ISSN 1384-6485
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Metaheuristic Algorithms for the Strip Packing Problem, a Tabu search algorithm, a genetic algorithm and we combine the two into a hybrid approach. The performance of the proposed algorithms is evaluated through extensive computational experiments on instances from the literature and on randomly generated instances.
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Evolving Agents for Global Optimization,putational efficiency. In this paper, we propose an approach that integrate the concept of search agents wsh EC for global optimization. Simulations are given to show the effectiveness of such integrated approach in function optimization.
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Applied Optimizationhttp://image.papertrans.cn/o/image/703213.jpg
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https://doi.org/10.1007/978-1-4613-0233-9algorithms; combinatorial optimization; communication network; computer; data structures; decision suppor
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iteln anklang, ist ein solcher Ansatz infolge der zugrundeliegenden . Voraussetzungen zur Rechtfertigung von Entscheidungen nach dem .-Prinzip in vielfacher Weise der . ausgesetzt. Trotzdem dürfte hierin ein ad?quater Ausgangspunkt für eine . Aufbereitung der Problematik unternehmerischen W?hrungsma
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