Adaptive Differential Evolution A Robust Approach To Multimodal Problem Optimization(1st Edition)
Authors:
Jingqiao Zhang ,Arthur C Sanderson
In Stock: 1 Left
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Total Price:
$66.71
Solution Manual Includes
Price:
$9.99
Book details
ISBN: 3642015263, 978-3642015267
Book publisher: Springer
Book Price $66.71 : I ?rst Met Jingqiao When He Had Just Commenced His PhD Research In Evolutionary Algorithms With Arthur Sanderson At Rensselaer. Jingqiaoâ??s Goals Then Were The Investigation And Development Of A Novel Class Of Se- Adaptivedi?erentialevolutionalgorithms,later CalledJADE. I Had Remarked To Jingqiao Then That Arthur Always Appreciated Strong Theoretical Foun- Tions In His Research, So Jingqiaoâ??s Prior Mathematically Rigorous Work In Communications Systems Would Be Very Useful Experience. Later In 2007, WhenJingqiaohadcompletedmostofthetheoreticalandinitialexperimental Work On JADE, I Invited Him To Spend A Year At GE Global Research Where He Applied His Developments To Several Interesting And Important Real-world Problems. Most Evolutionary Algorithm Conferences Usually Have Their Share Of In- Vative Algorithm Oriented Papers Which Seek To Best The State Of The Art - Gorithms. The Best Algorithms Of A Time-frame Create A Foundation For A New Generationof Innovativealgorithms, And So On, Fostering A Meta-evolutionary Search For Superior Evolutionary Algorithms. In The Past Two Decades, During Whichinterest Andresearchin Evolutionaryalgorithmshavegrownworldwide By Leaps And Bounds, Engaging The Curiosity Of Researchers And Practitioners Frommanydiversescienceandtechnologycommunities,developingstand-out Algorithms Is Getting Progressively Harder.
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