aco adaptation approximations artificial-life ba bayesian bayesian-edas bayesian-networks bibtex-import bioinformatics bmda boa cavity-method chordal-graphs classifier-systems clustering complexity constraints continuous-edas damping data-mining decimation dimensionality-reduction dynamic-optimization dynamic-problems ecga edas eda-theory entropy evolutionary-computation factor-graphs fda fitness frustration fuzzy ga-theory gaussian genetic-algorithms genetic-programming gibbs-sampling graph graphical-models graphs heuristics hp-model ica inf inference interactions ipf ising kikuchi-approximations learning linkage markov-chains markov-fields markov-network mateda max-configurations mdl mean-field mixtures modularity monte-carlo multiobjective mutation neighborhood-search network neural-networks optimization pada partial-evaluation pattern-recognition pbil philosophy propagation protein protein-design qsar r random-forests realizability region-graphs reinforcement-learning rna rotamers sampling sat schema-theory second-life selection sidechains software swarms testor testors thesis time-continuation tree trees turing-machine turing-machines umda unitation-functions vision visualization vns xcs