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[Lecture Notes in Computer Science] Applications of Evolutionary Computing Volume 3449 || Dynamic Decentralized Packet Clustering in Networks

✍ Scribed by Rothlauf, Franz; Branke, Jürgen; Cagnoni, Stefano; Corne, David Wolfe; Drechsler, Rolf; Jin, Yaochu; Machado, Penousal; Marchiori, Elena; Romero, Juan; Smith, George D.; Squillero, Giovanni


Book ID
120958469
Publisher
Springer Berlin Heidelberg
Year
2005
Tongue
German
Weight
242 KB
Category
Article
ISBN
3540320032

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✦ Synopsis


Evolutionary Computation (ec) Techniques Are E?cient Nature-inspired Pl- Ning And Optimization Methods Based On The Principles Of Natural Evolution And Genetics. Due To Their E?ciency And The Simple Underlying Principles, These Methods Can Be Used For A Large Number Of Problems In The Context Of Problem Solving,optimization,andmachinelearning. Alargeandcontinuouslyincreasing Number Of Researchers And Practitioners Make Use Of Ec Techniques In Many - Plication Domains. The Book At Hand Presents A Careful Selection Of Relevant Ec Applications Combined With Thorough Examinations Of Techniques For A Successful Application Of Ec. The Presented Papers Illustrate The Current State Of The Art In The Application Of Ec And Should Help And Inspire Researchers And Practitioners To Develop E?cient Ec Methods For Design And Problem Solving. All Papers In This Book Were Presented During Evoworkshops 2005, Which Was A Varying Collection Of Workshops On Application-oriented Aspects Of Ec. Since 1999, The Format Of The Evoworkshops Has Proved To Be Very Successful And Well Representative Of The Advances In The Application Of Ec. Consequently, Over The Last Few Years, Evoworkshops Has Become One Of The Major Events Addressing The Application Of Ec. In Contrast To Other Large Conferences In The Ec ?eld, The Evoworkshops Focus Solely On Application Aspects Of Ec And Are An Important Link Between Ec Research And The Application Of Ec In A Large Variety Of Di?erent Domains.


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[Lecture Notes in Computer Science] Appl
✍ Giacobini, Mario; Brabazon, Anthony; Cagnoni, Stefano; Di Caro, Gianni A.; Drech 📂 Article 📅 2008 🏛 Springer Berlin Heidelberg 🌐 English ⚖ 417 KB

Evolutionary computation (EC) techniques are e?cient, nature-inspired pl- ning and optimization methods based on the principles of natural evolution and genetics. Due to their e?ciency and simple underlying principles, these me- ods can be used in the context of problem solving, optimization, and ma