Titlebook: Autonomous Search; Youssef Hamadi,Eric Monfroy,Frédéric Saubion Book 2012 Springer-Verlag Berlin Heidelberg 2012 Adaptation.Artificial lif

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An Investigation of Reinforcement Learning for Reactive Search Optimizationon value in the Reactive Tabu Search, the noise parameter in the Adaptive Walksat, and the smoothing probability in the Reactive Scaling and Probabilistic Smoothing (RSAPS) algorithm. The novel approach is experimentally compared with the original ad hoc. reactive schemes.

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Adaptive Operator Selection and Management in Evolutionary Algorithmsge about the recent performance of each operator. In this chapter, we present methods for these two complementary aspects of operator control, the . AOS and the . AOM, providing case studies to analyze them in order to highlight the major issues that should be considered for the design of more autonomous Evolutionary Algorithms.

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Book 2012 solve larger problems and address new application domains. They are also more complex which means that they are hard to reproduce and often harder to fine-tune to the peculiarities of a given problem. This last point has created a paradox where efficient tools are out of reach of practitioners..Aut

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