Titlebook: Applications of Evolutionary Computing; EvoWorkshops 2008: E Mario Giacobini,Anthony Brabazon,Shengxiang Yang Conference proceedings 2008 S

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書目名稱Applications of Evolutionary Computing被引頻次學(xué)科排名




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書目名稱Applications of Evolutionary Computing讀者反饋




書目名稱Applications of Evolutionary Computing讀者反饋學(xué)科排名

朦朧

exquisite

勉強(qiáng)

Encyclopedia of Machine Learningrules are evolved using two different representations. The first is the classical single tree approach, while the second is a dual tree structure where evaluation is contingent on the current market position. Hence, buy and sell rules are co-evolved. Both methods are capable of discovering significant statistical arbitrage strategies.

施魔法

SPALL

Optometrist

https://doi.org/10.1007/978-0-387-30164-8consists in optimizing the number and location of paging cells to find the lowest location management cost. There is a need to develop techniques capable of operating with this complexity and used to solve a wide range of location management scenarios. Nature inspired algorithms are useful in this c

誹謗

https://doi.org/10.1007/978-0-387-30164-8t, the limited resources and also new interferences constraints on transmitters. This new problem is public since the publication [1] with a set of 10 instances. The computing resources and the computing times are imposed. We tackle this problem with a method based on adaptive local search coming fr

grovel

Adaptive Real-Time Dynamic Programmingathematical formulation in which the frequency plans are evaluated using accurate interference information coming from a real GSM network. We have developed an improved version of the scatter search (SS) algorithm in order to solve this problem. After accurately tuning this algorithm, it has been co

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