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Titlebook: Success in Evolutionary Computation; Ang Yang,Yin Shan,Lam Thu Bui Book 2008 Springer-Verlag Berlin Heidelberg 2008 algorithm.algorithms.a

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楼主: sesamoiditis
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A Revision of Evolutionary Computation Techniques in Telecommunications and An Application for The Narising in telecommunications. The revision includes wired based networks, wireless networks considering both planning and operation stages. Secondly, an evolutionary computation approach is proposed to solve the very complex telecommunications network global planning problem. The model is based on
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Survivable Network Design with an Evolution Strategyon a combinatorial variant of the evolution strategy and clearly outperforms existing benchmark results by genetic algorithms. The integration of domain-specific knowledge in the mutation operator and a repair heuristic raises the performance of an otherwise broadly applicable but less effective met
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Evolutionary Computations for Design Optimization and Test Automation in VLSI Circuitsl Evolution (DE) help engineers and researchers to optimize their designs using the Darwin‘s principle of “survival of the fittest”. These optimization principles are very frequently used in electronics for design of complex electronic systems such as VLSI circuit design and for their automated test
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Evolving Cooperative Agents in Economy Market Using Genetic Algorithmsc Algorithms (GA) in evolving cooperation within a competitive market environment. We use an agent-based economy model as the basis of our experiments to examine how well GA could perform against the IPD game strategies. We also explore the strategic interactions among the agents that represent firm
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Optimizing Multiplicative General Parameter Finite Impulse Response Filters Using Evolutionary Compueasing amount of attention especially among demanding practical optimization tasks. This Chapter describes how evolutionary algorithms can be used to increase the speed and robustness of the design process of a digital filter used in power systems instrumentation. Designing such filters is a challen
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Applying Genetic Algorithms to Optimize the Cost of Multiple Sourcing Supply Chain Systems – An Indutal cost of a multiple sourcing supply chain system. The system is characterized by a multiple sourcing model with stochastic demand. A mathematical model is adopted to describe the stochastic inventory with the many-to-many demandsupplier network problem and it simultaneously constitutes the invent
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Agusti Solanasds of geometric analysis. It attempts a synthesis of geometric and analytic methods in the study of Riemannian manifolds. The present work is the ?fth edition of my textbook on Riemannian geometry and geometric analysis. It has developed on the basis of several graduate courses I taught at the Ruhr-
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