Optimization and Industry: New Frontiers / edited by Panos M. Pardalos, Victor Korotkikh
| データ種別 | 電子書籍 |
|---|---|
| 版 | 1st ed. 2003. |
| 出版者 | New York, NY : Springer US : Imprint: Springer |
| 出版年 | 2003 |
書誌詳細を非表示
| 書誌ID | OB01026951 |
|---|---|
| 本文言語 | 英語 |
| 一般注記 | 1 Addressing the Solution of Nonsmooth Optimization Problems Arising in Industry -- 2 Heuristic Approaches to Production-Inventory-Distribution Problems in Supply Chains -- 3 Optimization in the Automotive Industry -- 4 Combinatorial Optimization in Telecommunications -- 5 Air Traffic Management at Sydney with Cancellations and Curfew Penalties -- 6 Nash Equilibria in Electricity Markets with Fixed Prices Points -- 7 Metaheuristic Algorithms for the Strip Packing Problem -- 8 On the Role of Nonlocal Correlations in Optimization -- 9 Global minimization of Lennard-Jones clusters by a two-phase monotonic method -- 10 Optimal Placement of Backbone Structures in a Rural Telecommunication Network -- 11 Computational Methods for Epilepsy Diagnosis. Visual Perception and EEG -- 12 Evolving Agents for Global Optimization -- 13 A Decomposition Approach for Optimal Processing of Telecommunications and Cyberspace Systems -- 14 Outsourcing Decision Support: A Web-based Approach -- 15 Intelligent Agent Application within Distributed Networking Simulation System. License restrictions may limit access Summary: 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 a spider catches a fly or a mosquito? Usually a spider hides at the edge of its net. When a fly or a mosquito hits the net the spider will pick up each line in the net to choose the tense line? Some biologists explain that the line gives the shortest path from the spider to its prey |
| 著者標目 | Pardalos, Panos M Korotkikh, Victor SpringerLink (Online service) |
| 統一書名標目 | Applied Optimization ; |
| 件 名 | LCSH:Mathematical optimization LCSH:Operations research LCSH:Management science LCSH:Computer science-Mathematics LCSH:Mathematics FREE:Optimization FREE:Operations Research and Decision Theory FREE:Operations Research, Management Science FREE:Mathematics of Computing FREE:Applications of Mathematics |
| 分 類 | LCC:QA402.5-402.6 DC23:519.6 |
| 巻冊次 | ISBN:9781461302339 RefWorks出力（各巻） print ; ISBN:9781461379539 RefWorks出力（各巻） print ; ISBN:9781402011870 RefWorks出力（各巻） print ; ISBN:9781461302346 RefWorks出力（各巻） |
| 資料種別 | 機械可読データファイル |
目次・あらすじ
類似資料
この資料の利用統計
このページへのアクセス回数：1回
※2020年8月16日以降