Titlebook: Simulated Evolution and Learning; 8th International Co Kalyanmoy Deb,Arnab Bhattacharya,Kay Chen Tan Conference proceedings 2010 Springer B

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書(shū)目名稱(chēng)Simulated Evolution and Learning影響因子(影響力)

書(shū)目名稱(chēng)Simulated Evolution and Learning影響因子(影響力)學(xué)科排名

書(shū)目名稱(chēng)Simulated Evolution and Learning網(wǎng)絡(luò)公開(kāi)度

書(shū)目名稱(chēng)Simulated Evolution and Learning網(wǎng)絡(luò)公開(kāi)度學(xué)科排名

書(shū)目名稱(chēng)Simulated Evolution and Learning被引頻次

書(shū)目名稱(chēng)Simulated Evolution and Learning被引頻次學(xué)科排名

書(shū)目名稱(chēng)Simulated Evolution and Learning年度引用

書(shū)目名稱(chēng)Simulated Evolution and Learning年度引用學(xué)科排名

書(shū)目名稱(chēng)Simulated Evolution and Learning讀者反饋

書(shū)目名稱(chēng)Simulated Evolution and Learning讀者反饋學(xué)科排名

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A Bi-criterion Approach to Multimodal Optimization: Self-adaptive Approachired for the evolutionary algorithm). We present successful results on a number of different multimodal optimization problems of upto 16 variables to demonstrate the generic applicability of the proposed algorithm.

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A Parallel Algorithm for Solving Large Convex Minimax Problemssteepest-descent rapidly and using Armijo’s condition proceeds towards the solution. Owing to the highly parallel nature of the algorithm, it is highly suitable for large minimax problems. Algorithm is implemented on Nvidia Tesla C1060 graphics card using CUDA and numerical comparisons with RGA & CFSQP are presented.

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