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Genetic Programming Theory and Practice X (Hardcover, 2013 ed.)
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Genetic Programming Theory and Practice X (Hardcover, 2013 ed.)
Series: Genetic and Evolutionary Computation
Expected to ship within 12 - 17 working days
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These contributions, written by the foremost international
researchers and practitioners of Genetic Programming (GP), explore
the synergy between theoretical and empirical results on real-world
problems, producing a comprehensive view of the state of the art in
GP. Topics in this volume include: evolutionary constraints,
relaxation of selection mechanisms, diversity preservation
strategies, flexing fitness evaluation, evolution in dynamic
environments, multi-objective and multi-modal selection,
foundations of evolvability, evolvable and adaptive evolutionary
operators, foundation of injecting expert knowledge in evolutionary
search, analysis of problem difficulty and required GP algorithm
complexity, foundations in running GP on the cloud - communication,
cooperation, flexible implementation, and ensemble methods.
Additional focal points for GP symbolic regression are: (1) The
need to guarantee convergence to solutions in the function
discovery mode; (2) Issues on model validation; (3) The need for
model analysis workflows for insight generation based on generated
GP solutions - model exploration, visualization, variable
selection, dimensionality analysis; (4) Issues in combining
different types of data. Readers will discover large-scale,
real-world applications of GP to a variety of problem domains via
in-depth presentations of the latest and most significant results.
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