Applications of Evolutionary Computing: Evoworkshops: EvoBIO, EvoCOMNET, EvoHot, EvoIASP, EvoMUSART, and EvoSTOC
Franz Rothlauf, Jürgen Branke, Stefano Cagnoni, David W. Corne, Rolf Drechsler, Yaochu Jin, Penousal Machado, Elena Marchiori, Juan Romero, George D. Smith, Giovanni Squillero
Springer, Sep 12, 2005 - Evolutionary programming (Computer science) - 631 pages
This book constitutes the refereed joint proceedings of six workshops on evolutionary computing, EvoWorkshops 2005, held in Lausanne, Switzerland in March/April 2005. The 56 revised full papers presented were carefully reviewed and selected from a total of 143 submissions. In accordance with the six workshops covered, the papers are organized in topical sections on evolutionary bioinformatics; evolutionary computing in communications, networks, and connected systems; hardware optimization techniques; evolutionary computation in image analysis and signal processing; evolutionary music and art; and evolutionary algorithms in stochastic and dynamic environments.
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Tabu Search Method for Determining Sequences of Amino Acids
Order Preserving Clustering over Multiple Time Course Experiments
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amino acid analysis applied approach Artificial automatic average Berlin Heidelberg 2005 biclusters calculated cells circuits classifiers cluster coefficients crossover dataset defined described detection disease dynamic ensemble environment evaluation evolution Evolution Strategy evolutionary algorithm Evolutionary Computation evolved EvoWorkshops 2005 example experiments Figure filter fitness function FPGA Fredkin gate fuzzy gene expression genetic algorithm Genetic Programming global GPNN graph hidden Markov models IEEE implementation individual initial input interactions iteration L-systems LNCS Machine Learning Mahalanobis distance matrix measure method metrics modules motifs neural network neurons node object obtained optimization output packets painting paper parameters patterns performance pheromone pixels population prediction problem proposed protein QSAR random randomly representation represents Rothlauf rules sample schemata segmentation selection sequence simulation solution Springer-Verlag Berlin Heidelberg strategy structure SVMs target techniques tion values vector Viterbi Viterbi algorithm weights