Optimization and Industry: New Frontiers

1. Front Matter

   Pages i-xii

   PDF

2. Addressing the Solution of Nonsmooth Optimization Problems Arising in Industry

   • Sharon K. Filipowski, Matthew E. Berge, Daniel J. Pierce, Jason Wu

   Pages 1-13

3. Heuristic Approaches to Production-Inventory-Distribution Problems in Supply Chains

   • Burak Eksioglu, Athanasios Migdalas, Panos M. Pardalos

   Pages 15-37

4. Optimization in the Automotive Industry

   • Donald R. Jones

   Pages 39-58

5. Combinatorial Optimization in Telecommunications

   • Mauricio G. C. Resende

   Pages 59-112

6. Air Traffic Management at Sydney with Cancellations and Curfew Penalties

   • Jerzy A. Filar, Prabhu Manyem, Marc Simon Visser, Kevin White

   Pages 113-140

7. Nash Equilibria in Electricity Markets with Fixed Prices Points

   • E. J. Anderson, H. Xu

   Pages 141-157

8. Metaheuristic Algorithms for the Strip Packing Problem

   • Manuel Iori, Silvano Martello, Michele Monaci

   Pages 159-179

9. On the Role of Nonlocal Correlations in Optimization

   • Galina Korotkikh, Victor Korotkikh

   Pages 181-219

10. Global Minimization of Lennard-Jones Clusters by a Two-Phase Monotonic Method

    • M. Locatelli, F. Schoen

    Pages 221-240

11. Optimal Placement of Backbone Structures in a Rural Telecommunication Network

    • M. M. Ali, C. Oppermann, B. Thomas, E. M. Wolmarans

    Pages 241-257

12. Computational Methods for Epilepsy Diagnosis. Visual Perception and EEG

    • Rasa Ruseckaite

    Pages 259-280

13. Evolving Agents for Global Optimization

    • Baolin Wu, Xinghuo Yu

    Pages 281-292

14. A Decomposition Approach for Optimal Processing of Telecommunications and Cyberspace Systems

    • Victor Korotkikh, Noel Patson

    Pages 293-308

15. Outsourcing Decision Support: A Web-Based Approach

    • Michael J. Nealon, Mark E. Johnston

    Pages 309-326

16. Intelligent Agent Application within Distributed Networking Simulation System

    • Amir M. Anvar

    Pages 327-339

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.

• algorithms
• combinatorial optimization
• communication network
• computer
• data structures
• decision support
• global optimization
• Mathematica
• metaheuristic
• optimization
• sets
• Simulation
• statistical method
• telecommunications
• visualization

• University of Florida, Gainesville, USA

  Panos M. Pardalos

• Central Queensland University, Mackay, Australia

  Victor Korotkikh

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