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.
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At the beginning of the new millennium, optimization is undergoing a major transformation in scope and dimension. It is evolving in response to challenges and opportunities from industry. From a largely dominant focus on specific problems, optimization is rapidly expanding to provide all the ingredients for a surge of a much broader development of technological, business and financial innovations. The chapters in the book give information about the latest advances of optimization in telecommunications, supply chain management, auto manufacturing, aerospace engineering, power industry, air traffic management, complexity and others. The book provides a unique opportunity for researchers in optimization and leaders of industry to understand the significance of the changes by presenting the field's accomplishments, new developments and future directions. Audience: The book is written at a level suitable for advanced undergraduate students, graduate students as well as research workers and practitioners in computer science, information technology, mathematics, management science and business. The book is quite suitable as a reference or as supplementary reading material for an advanced graduate course.
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