Titlebook: Learning and Intelligent Optimization; 11th International C Roberto Battiti,Dmitri E. Kvasov,Yaroslav D. Serge Conference proceedings 2017

Inveigle

書目名稱Learning and Intelligent Optimization影響因子(影響力)




書目名稱Learning and Intelligent Optimization影響因子(影響力)學(xué)科排名




書目名稱Learning and Intelligent Optimization網(wǎng)絡(luò)公開度




書目名稱Learning and Intelligent Optimization網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Learning and Intelligent Optimization被引頻次




書目名稱Learning and Intelligent Optimization被引頻次學(xué)科排名




書目名稱Learning and Intelligent Optimization年度引用




書目名稱Learning and Intelligent Optimization年度引用學(xué)科排名




書目名稱Learning and Intelligent Optimization讀者反饋




書目名稱Learning and Intelligent Optimization讀者反饋學(xué)科排名

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stressors

Roberto Battiti,Dmitri E. Kvasov,Yaroslav D. SergeIncludes supplementary material:

Psychogenic

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/l/image/582887.jpg

gregarious

https://doi.org/10.1007/978-3-319-69404-7machine learning; mathematical programming; global optimization; local optimization; artificial intellli

釘牢

A New Local Search for the ,-Center Problem Based on the Critical Vertex Conceptults attest the robustness of the proposed search procedure and confirm that for benchmark instances it converges to optimal or near/optimal solutions faster than the best known state-of-the-art local search.

CERE

Decomposition Descent Method for Limit Optimization Problemsof exact values of this function. We suggest to apply a two-level approach where approximate solutions of a sequence of mixed variational inequality problems are inserted in the iterative scheme of a selective decomposition descent method. Its convergence is attained under coercivity type conditions.

離開

Chauvinistic

An Importance Sampling Approach to the Estimation of Algorithm Performance in Automated Algorithm Detly, we describe how Importance Sampling can be used to generalize performance observations across algorithms with partially overlapping distributions, amortizing the cost of obtaining them. Finally, we implement the proposed approach as a Proof of Concept and validate it experimentally.

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