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Kategorie szczegółowe BISAC
 Multi-Objective Memetic Algorithms Chi-Keong Goh Yew-Soon Ong Kay Chen Tan 9783540880509 Springer
Multi-Objective Memetic Algorithms

Chi-Keong Goh Yew-Soon Ong Kay Chen Tan

Memetic algorithms are a success story in sophisticated evolutionary computing. Written for as wide a readership as possible, this book reflects the current state-of-the-art in the theory and practice of Memetic algorithms and is an invaluable reference.

Memetic algorithms are a success story in sophisticated evolutionary computing. Written for as wide a readership as possible, this book reflects th...

cena: 605,23
 Evolutionary Multi-Objective Optimization in Uncertain Environments: Issues and Algorithms Goh, Chi-Keong 9783540959755 Springer
Evolutionary Multi-Objective Optimization in Uncertain Environments: Issues and Algorithms

Goh, Chi-Keong

The primary motivation of this book is to provide a comprehensive introduction on the design and application of evolutionary algorithms for multi-objective optimization in the presence of uncertainties. The book is intended for a wide readership.

The primary motivation of this book is to provide a comprehensive introduction on the design and application of evolutionary algorithms for multi-o...

cena: 403,47
 Computational Intelligence in Expensive Optimization Problems Yoel Tenne Chi-Keong Goh 9783642107009 Springer
Computational Intelligence in Expensive Optimization Problems

Yoel Tenne Chi-Keong Goh

In modern science and engineering, laboratory experiments are replaced by high fidelity and computationally expensive simulations. Using such simulations reduces costs and shortens development times but introduces new challenges to design optimization process. Examples of such challenges include limited computational resource for simulation runs, complicated response surface of the simulation inputs-outputs, and etc.

Under such difficulties, classical optimization and analysis methods may perform poorly. This motivates the application of computational intelligence methods such as...

In modern science and engineering, laboratory experiments are replaced by high fidelity and computationally expensive simulations. Using such simul...

cena: 1210,50
 Computational Intelligence in Expensive Optimization Problems Yoel Tenne Chi-Keong Goh 9783642263187 Springer
Computational Intelligence in Expensive Optimization Problems

Yoel Tenne Chi-Keong Goh

In modern science and engineering, laboratory experiments are replaced by high fidelity and computationally expensive simulations. Using such simulations reduces costs and shortens development times but introduces new challenges to design optimization process. Examples of such challenges include limited computational resource for simulation runs, complicated response surface of the simulation inputs-outputs, and etc.

Under such difficulties, classical optimization and analysis methods may perform poorly. This motivates the application of computational intelligence methods such as...

In modern science and engineering, laboratory experiments are replaced by high fidelity and computationally expensive simulations. Using such simul...

cena: 1210,50


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