Despite decades of work in evolutionary algorithms, there remains an uncertainty as to the relative benefits and detriments of using recombination or mutation. This book provides a characterization of the roles that recombination and mutation play in evolutionary algorithms. It integrates important prior work and introduces new theoretical techniques for studying evolutionary algorithms. Consequences of the theory are explored and a novel method for comparing search and optimization algorithms is introduced. The focus allows the book to bridge multiple communities, including evolutionary biologists and population geneticists.
Derived From The Best And The Most Copious Eastern Sources. Comprising Of A Very Large Collection Of Words And Significations Omitted In Kamoos; With Supplements Of Its Abridged And Defective Explanations, Ample Grammatical And Critical Comments And Examples In Prose And Verse.
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