Online Population Size Adjusting Using Noise and Substructural Measurements

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This paper proposes an online population size adjustment scheme for genetic algorithms. It utilizes linkage-model-building techniques to calculate the parameters used in facetwise population-sizing models. The methodology is demonstrated using the dependency structure matrix genetic algorithm on a set of boundedly-difficult problems. Empirical results indicate that the proposed method is both efficient and robust. If the initial population size is too large, the proposed method automatically decreases the population size, and thereby yields significant savings in the number of function evaluations required to obtain high-quality solutions; if the initial population size is too small, the proposed scheme increases the population size on-the-fly and thereby avoiding premature convergence.

Economía y finanzas Tecnología

Online Population Size Adjusting Using Noise and Substructural Measurements

Online Population Size Adjusting Using Noise and Substructural Measurements

Online Population Size Adjusting Using Noise and Substructural Measurements

Online Population Size Adjusting Using Noise and Substructural Measurements

Online Population Size Adjusting Using Noise and Substructural Measurements

Online Population Size Adjusting Using Noise and Substructural Measurements

Online Population Size Adjusting Using Noise and Substructural Measurements

Online Population Size Adjusting Using Noise and Substructural Measurements

Online Population Size Adjusting Using Noise and Substructural Measurements

Online Population Size Adjusting Using Noise and Substructural Measurements

Online Population Size Adjusting Using Noise and Substructural Measurements

Online Population Size Adjusting Using Noise and Substructural Measurements

Online Population Size Adjusting Using Noise and Substructural Measurements

Online Population Size Adjusting Using Noise and Substructural Measurements

Online Population Size Adjusting Using Noise and Substructural Measurements

Online Population Size Adjusting Using Noise and Substructural Measurements

Online Population Size Adjusting Using Noise and Substructural Measurements

Online Population Size Adjusting Using Noise and Substructural Measurements

Online Population Size Adjusting Using Noise and Substructural Measurements

Online Population Size Adjusting Using Noise and Substructural Measurements

Online Population Size Adjusting Using Noise and Substructural Measurements

Online Population Size Adjusting Using Noise and Substructural Measurements

Online Population Size Adjusting Using Noise and Substructural Measurements

Online Population Size Adjusting Using Noise and Substructural Measurements

Online Population Size Adjusting Using Noise and Substructural Measurements

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이 책은 안드로이드를 임베디드 기기에 포팅, 확장, 커스터마이징하는 데 필요한 각종 기술적 궁금증을 해소해 주는 안내서다. 다가오는 사물인터넷 시대의 핵심 플랫폼이 될 안드로이드의 구조와 동작 원리를 이해하여 나만의 안드로이드 기반 제품을 만들 수 있는 지식과 기술을 습득하게 도와준다. - 저자 : 카림 야크무르 - 역자 : 이성주 - ISBN : 978-89-6848-177-2 93000 - 발행일 : 2015년 4월 1일 - 페이지수 : 460 - 정가 : 27,000원

『임베디드 안드로이드』 - 미리보기

『임베디드 안드로이드』 - 미리보기

『임베디드 안드로이드』 - 미리보기

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『임베디드 안드로이드』 - 미리보기

『임베디드 안드로이드』 - 미리보기

『임베디드 안드로이드』 - 미리보기

『오픈스택 인 액션』 - 맛보기

『오픈스택 인 액션』 - 맛보기

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Efficient Cluster Optimization Using A Hybrid Extended Compact Genetic Algori...

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