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Titlebook: Evolutionary Computation in Practice; Tina Yu,Lawrence Davis,Rajkumar Roy Book 2008 Springer-Verlag Berlin Heidelberg 2008 Evolutionary Al

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51#
發(fā)表于 2025-3-30 10:56:03 | 只看該作者
An Introduction to Evolutionary Computation in Practice,ly discussed in a typical EC course curriculum. Meanwhile, although the values of applied research are acknowledged by most EC technologists, the perception seems to be very narrow: success stories boost morale and high profile applications can help to secure funding for future research and can help to attract high caliber students.
52#
發(fā)表于 2025-3-30 13:32:41 | 只看該作者
Multi-Level Decomposition for Tractability in Structural Design Optimization,oblems that have both large design spaces and time-intensive analyses, rendering them intractable to traditional methods. In an example problem, a set of loosely coupled optimization agents is shown to reduce dramatically the computing time needed to find good solutions to such problems. The savings
53#
發(fā)表于 2025-3-30 17:04:10 | 只看該作者
54#
發(fā)表于 2025-3-30 23:38:59 | 只看該作者
Evolving Microstructured Optical Fibres,of holes. This chapter presents a genetic algorithm which uses an embryogeny representation, or a growth phase, to convert a design from its genetic encoding (genotype) to the microstructured fibre (phenotype). The work demonstrates the application of variable-complexity, evolutionary design approac
55#
發(fā)表于 2025-3-31 00:56:41 | 只看該作者
Optimization of Store Performance Using Personalized Pricing,he store performance is optimized using Monte-Carlo simulations and evolutionary computation. The results showed that individual pricing outperforms the traditional product-centered approach significantly. We believe that the successful implementation of the proposed research will impact the grocery
56#
發(fā)表于 2025-3-31 06:09:37 | 只看該作者
A Computational Intelligence Approach to Railway Track Intervention Planning,eterioration patterns of sections of track are first analyzed. A Rival Penalized Competitive Learning algorithm is then used to determine possible failure types. We have devised a generalized two stage evolutionary algorithm to produce curve functions for this purpose. The approach is illustrated us
57#
發(fā)表于 2025-3-31 11:19:53 | 只看該作者
58#
發(fā)表于 2025-3-31 15:54:08 | 只看該作者
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