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| Preface | ||
| Acknowledgements | ||
| Pt. I | Methodological aspects | 1 |
| 1 | Using Genetic Algorithms for Optimization: Technology Transfer in Action | 3 |
| 2 | An Introduction to Evolutionary Computation and Some Applications | 23 |
| 3 | Evolutionary Computation: Recent Developments and Open Issues | 43 |
| 4 | Some Recent Important Foundational Results in Evolutionary Computation | 55 |
| 5 | Evolutionary Algorithms for Engineering Applications | 73 |
| 6 | Embedded Path Tracing and Neighbourhood Search Techniques | 95 |
| 7 | Parallel and Distributed Evolutionary Algorithms | 113 |
| 8 | Evolutionary Multi-Criterion Optimization | 135 |
| 9 | ACO Algorithms for the Traveling Salesman Problem | 163 |
| 10 | Genetic Programming: Turing's Third Way to Achieve Machine Intelligence | 185 |
| 11 | Automatic Synthesis of the Topology and Sizing for Analog Electrical Circuits Using Genetic Programming | 199 |
| Pt. II | Application-Oriented Approaches | 231 |
| 12 | Multidisciplinary Hybrid Constrained GA Optimization | 233 |
| 13 | Genetic Algorithm as a Tool for Solving Electrical Engineering Problems | 261 |
| 14 | Genetic Algorithms in Shape Optimization: Finite and Boundary Element Applications | 283 |
| 15 | Genetic Algorithms and Fractals | 327 |
| 16 | Three Evolutionary Approaches to Clustering | 351 |
| Pt. III | Industrial Applications | 381 |
| 17 | Evolutionary Algorithms Applied to Academic and Industrial Test Cases | 383 |
| 18 | Optimization of an Active Noise Control System inside an Aircraft, Based on the Simultaneous Optimal Positioning of Microphones and Speakers, with the Use of a Genetic Algorithm | 399 |
| 19 | Generator Scheduling in Power Systems by Genetic Algorithm and Expert System | 411 |
| 20 | Efficient Partitioning Methods for 3-D Unstructured Grids Using Genetic Algorithms | 425 |
| 21 | Genetic Algorithms in Shape Optimization of a Paper Machine Headbox | 435 |
| 22 | A Parallel Genetic Algorithm for Multi-Objective Optimization in Computational Fluid Dynamics | 445 |
| 23 | Application of a Multi Objective Genetic Algorithm and a Neural Network to the Optimisation of Foundry Processes | 457 |
| 24 | Circuit Partitioning Using Evolution Algorithms | 471 |
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Thomas Ruzicka …….
reviewed Evolutionary Algorithms In Engineer on April 23, 2011
Evolutionary Algorithms In Engineer
In comparison to "Introduction to Algorithms" (the other algorithm book I had significant exposure to) this one is faster to read, easier to digest and more tailored towards applications.
I found the "Hitchhiker's Guide to Algorithms" in the back to be extremely useful if you really find yourself tackling an algorithmic problem in practice.
The main part (maybe skipping/skimming down a few chapters) is a very good preparation for algorithm-heavy job interviews (e.g. Google, Facebook etc ...).
Very much recommended.
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