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Real-world problems and modern optimization techniques to solve them Here, a team of international experts brings together core ideas for solving complex problems in optimization across a wide variety of real-world settings, including computer science, engineering, transportation, telecommunications, and bioinformatics. Part One--covers methodologies for complex problem solving including genetic programming, neural networks, genetic algorithms, hybrid evolutionary algorithms, and more. Part Two--delves into applications including DNA sequencing and reconstruction, location of antennae in…mehr
Real-world problems and modern optimization techniques to solve them Here, a team of international experts brings together core ideas for solving complex problems in optimization across a wide variety of real-world settings, including computer science, engineering, transportation, telecommunications, and bioinformatics. Part One--covers methodologies for complex problem solving including genetic programming, neural networks, genetic algorithms, hybrid evolutionary algorithms, and more. Part Two--delves into applications including DNA sequencing and reconstruction, location of antennae in telecommunication networks, metaheuristics, FPGAs, problems arising in telecommunication networks, image processing, time series prediction, and more. All chapters contain examples that illustrate the applications themselves as well as the actual performance of the algorithms.?Optimization Techniques for Solving Complex Problems is a valuable resource for practitioners and researchers who work with optimization in real-world settings.
ENRIQUE ALBA is a Professor of Data Communications and Evolutionary Algorithms at the University of Málaga, Spain. CHRISTIAN BLUM is a Research Fellow at the ALBCOM research group of the Universitat Politècnica de Catalunya, Spain. PEDRO ISASI??is a Professor of Artificial Intelligence at the University Carlos III of Madrid, Spain. COROMOTO LEÓN is a Professor of Language Processors and Distributed Programming at the University of La Laguna, Spain. JUAN ANTONIO??GÓMEZ is a Professor of Computer Architecture and Reconfigurable Computing at the University of Extremadura, Spain.??
Inhaltsangabe
Preface. 1. Oscillator Dynamics. 1.1. Introduction. 1.2. Operational Principle of Free-Running Oscillators. 1.3. Impedance-Admittance Analysis of an Oscillator. 1.4. Frequency-Domain Formulation of an Oscillator Circuit. 1.5. Oscillator Dynamics. 1.6. Phase Noise. 2. Phase Noise. 2.1. Introduction. 2.2. Random Variable and random Processes. 2.3. Noise Sources in Electronic Circuits. 2.4. Derivation of the Oscillator Noise Spectrum Using Time-Domain Analysis. 2.5. Frequency-Domain Analysis of a Noisy Oscillator. 3. Bifurcation Analysis. 3.1. Introduction. 3.2. Representation of Solutions. 3.3. Bifurcations. 4. Injected Oscillators and Frequency Dividers. 4.1. Introduction. 4.2. Injection-Locked Oscillators. 4.3. Frequency Dividers. 4.4. Subharmonically and Ultrasubharmonically Injection-Locked Oscillators. 4.5. Self-Oscillating Mixers. 5. Nonlinear Circuit Simulation. 5.1. Introduction. 5.2. Time-Domain Integration. 5.3. Fast Time-Domain Techniques. 5.4. Harmonic Balance. 5.5. Harmonic Balance Analysis of Autonomous and Synchronized Circuit. 5.6. Envelope Transient. 5.7. Conversion Matrix Approach. 6. Stability Analysis Using Harmonic Balance. 6.1. Introduction. 6.2. Local Stability Analysis. 6.3. Stability Analysis of Free-Running Oscillators. 6.4. Solution Curves Versus a Circuit Parameter. 6.5.Global Stability Analysis. 6.6. Bifurcation Synthesis and Control. 7. Noise Analysis Using Harmonic Balance. 7.1. Introduction. 7.2. Noise in Semiconductor Devices. 7.3. Decoupled Analysis of Phase and Amplitude Perturbations in a Harmonic Balance System. 7.4. Coupled Phase and Amplitude Noise Calculation. 7.5. Carrier Modulation Approach. 7.6. Conversion Matrix Approach. 7.7. Noise in Synchronized Oscillators. 8. Harmonic Balance Techniques for Oscillator Design. 8.1. Introduction. 8.2. Oscillator Synthesis. 8.3. Design of Voltage-Controlled Oscillators. 8.4. Maximization of Oscillator Efficiency. 8.5. Control of Oscillator Transients. 8.6. Phase Noise Reduction. 9. Stabilization Techniques for Phase Noise Reduction. 9.1. Introduction. 9.2. Self-Injection Topology. 9.3. Use of High-Q Resonators. 9.4. Stabilization Loop. 9.5. Transistor-Based Oscillators. 10. Coupled-Oscillator Systems. 10.1. Introduction. 10.2. Oscillator Systems with Global Coupling. 10.3. Coupled-Oscillator Systems for Beam Steering. 11. Simulation Techniques for Frequency-Divider Design. 11.1. Introduction. 11.2. Types of frequency dividers. 11.3. Design of Transistor-Based Regenerative Frequency Dividers. 11.4. Design of Harmonic Injection Dividers. 11.5. Extension of the Techniques to Subharmonic Injection Oscillators. 12. Circuit Stabilization. 12.1. Introduction. 12.2. Unstable Class AB Amplifier Using Power Combiners. 12.3. Unstable Class E/F Amplifier. 12.4. Unstable Class E Amplifier. 12.5. Stabilization of Oscillator Circuits. 12.6. Stabilization of Multifunction MMIC Chips. Index.
