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Book Categories |
| Ch. 1 | Introduction | 1 |
| Pt. I | New Optimization Techniques | |
| Ch. 2 | Introduction to Genetic Algorithms for Engineering Optimization | 13 |
| Ch. 3 | Memetic Algorithms | 53 |
| Ch. 4 | Scatter Search and Path Relinking: Foundations and Advanced Designs | 87 |
| Ch. 5 | Ant Colony Optimization | 101 |
| Ch. 6 | Differential Evolution | 123 |
| Ch. 7 | SOMA - Self-Organizing Migrating Algorithm | 167 |
| Ch. 8 | Discrete Particle Swarm Optimization, illustrated by the Traveling Salesman Problem | 219 |
| Pt. II | Applications of New Optimization Techniques in Engineering | |
| Pt. II.1 | Chemical/Metallurgical Engineering | |
| Ch. 9 | Applications in Heat Transfer | 241 |
| Ch. 10 | Applications in Mass Transfer | 287 |
| Ch. 11 | Applications in Fluid Mechanics | 313 |
| Ch. 12 | Applications in Reaction Engineering | 341 |
| Pt. II.2 | Civil/Environmental Engineering/Interdisciplinary | |
| Ch. 13 | New Ideas and Applications of Scatter Search and Path Relinking | 367 |
| Ch. 14 | Improvement of Search Process in Genetic Algorithms: An Application of PCB Assembly Sequencing Problem | 385 |
| Ch. 15 | An ANTS Heuristic for the Long-Term Car Pooling Problem: ACO | 411 |
| Ch. 16 | Genetic Algorithms in Irrigation Planning: A Case Study of Sri Ram Sagar Project, India | 431 |
| Pt. II.3 | Electrical/Electronics Engineering | |
| Ch. 17 | Optimization of Helical Antenna Electromagnetic Pattern Field | 445 |
| Ch. 18 | VLSI design: Gate Matrix Layout Problem | 455 |
| Ch. 19 | Parametric Optimization of a Fuzzy Logic Controller for Nonlinear Dynamical Systems using Evolutionary Computation | 479 |
| Ch. 20 | DNA Coded GA: Rule Base Optimization of FLC for Mobile Robot | 503 |
| Pt. II.4 | Manufacturing/Industrial Engineering | |
| Ch. 21 | TRIBES application to the flow shop scheduling problem | 517 |
| Ch. 22 | Optimizing CNC Drilling Machine Operations: Traveling Salesman Problem-Differential Evolution Approach | 537 |
| Ch. 23 | Particle swarm optimization for the assignment of facilities to locations | 567 |
| Ch. 24 | Differential Evolution for the Flow Shop Scheduling Problem | 585 |
| Pt. II.5 | Mechanical/Aeronautical Engineering | |
| Ch. 25 | Evaluation of Form Errors to Large Measurement Data Sets Using Scatter Search | 613 |
| Ch. 26 | Mechanical engineering problem optimization by SOMA | 633 |
| Ch. 27 | Scheduling and Production & Control: MA | 655 |
| Ch. 28 | Determination of Optimal Machining Conditions Using Scatter Search | 681 |
| Pt. III | Extended Frontiers | |
| Ch. 29 | Extended Frontiers in optimization techniques | 703 |
| Price | Condition | Delivery | Seller | Action |
| $149.00 | Digital |
| WonderClub |
Robert Miller
reviewed New Optimization Techniques in Engineering on February 23, 2009
New Optimization Techniques in Engineering
If you read this book as first time in order to understand Computational Complexity, then you're probably not going to like it. You need to read Sipser's textbook before you read this book and make sure that you have a strong background in discrete mathematics (if not, then see Rosen's textbook in Discrete Mathematics). This book is recommended by best people in complexity and algorithms such as Scott Aaronson, Sipser, etc. You need to solve as many exercises as you go.
The book has five parts:
Part I: Algorithms
Part II: Logic
Part III: P and NP
Part IV: Inside P
Part V: Beyond NP
The most important parts are in Part I, III.
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