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| Pareto Solutions of Multipoint Design of Supersonic Wings Using Evolutionary Algorithms | 3 | |
| Notes on Design Through Artificial Evolution: Opportunities and Algorithms | 17 | |
| Testing, Evaluation and Performance of Optimization and Learning Systems | 27 | |
| From Evolutionary Computation to Natural Computation | 41 | |
| Experiences with Hybrid Evolutionary/Local Optimization for Process Design | 53 | |
| The Development of a Grid-based Engineering Design Problem Solving Environment | 65 | |
| A Hybrid Search Technique for Inverse Transient Analysis in Water Distribution Systems | 75 | |
| Optimisation of Thermal Power Plant Designs: A Graph-based Adaptive Search Approach | 87 | |
| Genetic Algorithm Search for Stent Design Improvements | 99 | |
| A Multi-objective Optimisation Approach for the Conceptual Design of Frame Structures | 109 | |
| Multi-Objective Evolutionary Topological Optimum Design | 121 | |
| Better Surface Intersections by Constrained Evolution | 133 | |
| Inverse Identification of Boundary Constants for Electronic Packages Using Modified Micro Genetic Algorithm and the Reduced-basis Method | 143 | |
| Extrinsic Evolution of Finite State Machines | 157 | |
| Neural Computing Approach to Shape Change Estimation in Hot Isostatic Pressing | 171 | |
| Multi-criterion Tackling Bottleneck Machines and Exceptional Parts in Cell Formation Using Genetic Algorithms | 181 | |
| A New Approach to Packing Non-Convex Polygons Using the No Fit Polygon and Meta-Heuristic and Evolutionary Algorithms | 193 | |
| Evolutionary Multi-criteria Optimization for Improved Design of Optimal Control Systems | 207 | |
| Explorations in Fuzzy Classifier System Architectures | 219 | |
| Evolving Temporal Rules with the Delayed Action Classifier System - Analysis and New Results | 231 | |
| Adaptive Image Segmentation Based on Visual Interactive Feedback Learning | 243 | |
| Adapting Problem Specifications and Design Solutions Using Co-evolution | 257 | |
| Handling Constraints in Genetic Algorithms Using Dominance-based Tournaments | 273 | |
| The Optimisation of Multivariate Robust Design Criteria | 285 | |
| Learning from Experience: Case Injected Genetic Algorithm Design of Combinational Logic Circuits | 295 | |
| Constrained Optimisation with the Fuzzy Clustering Evolution Strategy | 307 | |
| Constrained Optimization Using an Evolutionary Programming-based Cultural Algorithm | 317 | |
| A Data Mining Tool Using an Intelligent Processing System with a Clustering Application | 329 | |
| Full Elite Sets for Multi-objective Optimisation | 343 | |
| Agent-based Support within an Interactive Evolutionary Design System | 355 | |
| A Multi-Agent Architecture for Business Process Management Adapts to Unreliable Performance | 369 | |
| Real-time Co-ordinated Scheduling Using a Genetic Algorithm | 381 | |
| Author Index | 393 |
| Price | Condition | Delivery | Seller | Action |
| $130.00 | Digital |
| WonderClub |
Lindsey Gonzales
reviewed Adaptive Computing in Design and Manufacture V on January 15, 2018
Adaptive Computing in Design and Manufacture V
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 V, The Adaptive Computing in Design and Manufacture Conference series is now in its tenth year and has become a well-established, application-oriented meeting recognised by several UK Engineering Institutions and the International Society of Genetic and Evol, Adaptive Computing in Design and Manufacture V to the inventory that you are selling on WonderClubX
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Add Adaptive Computing in Design and Manufacture V, The Adaptive Computing in Design and Manufacture Conference series is now in its tenth year and has become a well-established, application-oriented meeting recognised by several UK Engineering Institutions and the International Society of Genetic and Evol, Adaptive Computing in Design and Manufacture V to your collection on WonderClub |