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| 1.1 | The everyday engineering of organizational and engineering innovation | 3 |
| 1.2 | Mixing maths with cases | 13 |
| 2.1 | Morphogenic evolutionary design : cellular automata representations in topological structural design | 25 |
| 2.2 | Design search and optimisation using radial basis functions with regression capabilities | 39 |
| 2.3 | Genetic programming within civil engineering | 51 |
| 2.4 | Enhancing automated process design with cognitive agents, distributed software components and Web repositories | 63 |
| 2.5 | Robust solutions in engineering design - stochastic simulation vs. DACE | 75 |
| 2.6 | Adaptive search for an optimum in a problem of oil stabilisation process design | 87 |
| 2.7 | Application of artificial neural networks in differential pulse code modulation scheme | 99 |
| 3.1 | Job-shop scheduling using the clonal selection technique | 113 |
| 3.2 | Genetic optimisation of machine tool paths | 125 |
| 3.3 | Automating the analysis of wafer data using adaptive resonance theory networks | 137 |
| 3.4 | Job shop scheduling using multi-agent systems | 149 |
| 3.5 | Tool wear prediction approach for turning operations based on general regression neural network (GRNN) technique | 161 |
| 3.6 | An efficient genetic algorithm to solve the manufacturing cell formation problem | 173 |
| 3.7 | Evolutionary simulated annealing algorithms for uncapacitated facility location problems | 185 |
| 4.1 | A technique for evaluation of interactive evolutionary systems | 197 |
| 4.2 | Interactive evolutionary strategy based discovery of image segmentation parameters | 209 |
| 4.3 | Extraction of emerging multi-objective design information from COGA data | 221 |
| 4.4 | Building compact rulesets for describing continuous-valued problem spaces using a learning classifier system | 235 |
| 5.1 | Metamodel assisted multi-objective optimisation algorithms and their application in airfoil design | 249 |
| 5.2 | Mechanical component design for multiple objectives using generalised differential evolution | 261 |
| 5.3 | Multidisciplinary aircraft conceptual design optimisation using a hierarchical asynchronous parallel evolutionary algorithm (HAPEA) | 273 |
| 5.4 | CSAA : a constraint satisfaction ant colony framework | 285 |
| 5.5 | Adaptive computing in support of traffic management | 295 |
| 6.1 | An online hierarchical fuzzy rule based system for mobile robot controllers | 309 |
| 6.2 | Improving robot manipulator performance with adaptive neuro-control | 321 |
| 7.1 | New strategies in differential evolution | 335 |
| 7.2 | Balanced random and adaptive interval arithmetic for systems of linear interval equations | 347 |
| 7.3 | An effective real parameter genetic algorithm for multi-modal optimisation | 359 |
| 7.4 | Dynamic graph drawing with a hybridized genetic algorithm | 365 |
| 7.5 | Quantum-inspired evolution algorithm : experimental analysis | 377 |
| Price | Condition | Delivery | Seller | Action |
| $201.88 | Digital |
| WonderClub |
Michael Smith
reviewed Adaptive Computing in Design and Manufacture VI on November 24, 2020
Adaptive Computing in Design and Manufacture VI
Jack Meredith and Scott Shafer have a lot of great content they present in their Operations Management textbook. Understanding the types of work processes, work flow, Theory of Constraints, Six Sigma and Lean principles, make this a jewel. However, the jewels are buried between poorly written and poorly edited text that some times made it difficult to understand the concepts they were discussing.
The content is there to make this a great textbook. I would recommend that they utilize Six Sigma and Lean principles to their writing and editing processes and look at the material with the customer (student) in mind. They haven't asked the basic question, "Does this make sense?" often enough. Sometimes their explanations left more confusion over areas than it needed to be.
While my critique may sound harsh, it is only because they are violating the very principles they discuss in the book. This is where they needed to lead by example. There is a lot of good material here, it just needs to be organized better.
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Add Adaptive Computing in Design and Manufacture VI, The Adaptive Computing in Design and Manufacture conference series has become a well-established, largely application-oriented meeting recognised by several UK Engineering Institutions and the International Society of Genetic and Evolutionary Computing. T, Adaptive Computing in Design and Manufacture VI to the inventory that you are selling on WonderClubX
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Add Adaptive Computing in Design and Manufacture VI, The Adaptive Computing in Design and Manufacture conference series has become a well-established, largely application-oriented meeting recognised by several UK Engineering Institutions and the International Society of Genetic and Evolutionary Computing. T, Adaptive Computing in Design and Manufacture VI to your collection on WonderClub |