Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences. ([2014])

• Record Type: Book
• Further Information: Note: David Greiner [and 5 more], editors.
• Editors: Greiner, David
• Other Names: EUROGEN (Conference), 10th
• Contents: Preface; Contents; Part ITheoretical and Numerical Methodsand Tools for Optimization:Theoretical Methods and Tools; 1 Multi-objective Evolutionary Algorithms in Real-World Applications: Some Recent Results and Current Challenges; 1.1 Introduction; 1.2 Basic Concepts; 1.3 Dealing with Expensive Problems; 1.3.1 Use of Problem Approximation; 1.3.2 Use of Functional Approximation; 1.3.3 Use of Evolutionary Approximation; 1.4 Other Approaches; 1.4.1 Cultural Algorithms; 1.4.2 Use of Very Small Population Sizes; 1.4.3 Use of Efficient Search Techniques; 1.5 Future Research Paths; 1.6 Conclusions. 2.4.4 Genetic Algorithm Based Wavelet Neural Network (HYBWNN) [31, 32]2.5 Comparison Among Different Response Surface Algorithms; 2.5.1 Fittest Polynomial RBF Versus Hybrid Wavelet Neural Network [42]; 2.5.2 Fittest Polynomial RBF Versus Kriging; 2.5.3 Fittest Polynomial RBF Versus Hybrid Self Organizing Response Surface Method -- HYBSORSM ; 2.5.4 Fittest Polynomial RBF Versus Kriging Approximation with Fittest Polynomial Radial Basis Function -- KRG-FP-RBF; 2.6 Conclusions; References; 3 A Genetic Algorithm for a Sensor Device Location Problem; 3.1 Introductionaut]Daniele, Elia. 3.2 Constrained Location Problem3.2.1 Preliminaries; 3.2.2 The Facility Location Game; 3.2.3 Location of Sensor Devices on a Grid; 3.3 Nash Genetic Algorithm for the Location Problem; 3.3.1 Genetic Algorithm; 3.3.2 Nash Equilibrium Game; 3.3.3 Test Cases; 3.4 Conclusions; References; 4 The Role of Artificial Neural Networks in Evolutionary Optimisation: A Review; 4.1 Introduction; 4.1.1 Evolutionary Algorithms; 4.1.2 Artificial Neural Networks ANN; 4.2 Different Use of ANNEO and EOANN; 4.2.1 The Use of EOs in ANNs: EOANN; 4.2.2 The Use of ANNs in EO: ANNEO. 4.3 Some Applications Using ANNEO and EOANN4.4 Conclusions; References; 5 Reliability-Based Design Optimization with the Generalized Inverse Distribution Function; 5.1 Introduction; 5.2 Robust Optimization; 5.3 The Generalized Inverse Distribution Function Method; 5.4 A Robust Optimization Test Case; 5.5 Evaluating and Improving the Quantile Estimation; 5.6 Single and Multi-objective Reliability Optimization Tests; 5.7 Conclusions; References; Part IITheoretical and Numerical Methodsand Tools for Optimization:Numerical Methods and Tools.
• Publisher Details: Cham : Springer
• Publication Date: 2014
• Copyright Date: 2015
• Extent: 1 online resource (xi, 522 pages), illustrations
• Subjects: 519.6; Engineering; Mathematical optimization -- Congresses; Engineering design -- Mathematical models -- Congresses; MATHEMATICS -- Probability & Statistics -- General; Engineering design -- Mathematical models; Mathematical optimization; Civil & Environmental Engineering; Engineering & Applied Sciences; Civil Engineering; Technology & Engineering -- Mechanical; Computers -- Computer Science; Mathematics -- Applied; Mechanics of solids; Maths for scientists; Optimization; Engineering design; Mechanics, applied; Computer science; Mathematical optimization; Technology & Engineering -- Industrial Design -- Product; Technical design; Electronic books; Conference papers and proceedings
• Languages: English
• ISBNs: 9783319115412; 3319115413; 3319115405; 9783319115405
• Related ISBNs: 9783319115405
• Notes: Note: References2 Hybrid Optimization Algorithms and Hybrid Response Surfaces; 2.1 Introduction; 2.2 Hybrid Optimization Algorithm Concepts; 2.3 Hybrid Response Surface Generation Concepts; 2.3.1 Polynomial Regression; 2.3.2 Self Organizing Algorithms [19, 20]; 2.3.3 Kriging; 2.3.4 Radial Basis Functions; 2.3.5 Wavelet Based Neural Networks [31, 32]; 2.4 Hybrid Methods for Response Surfaces; 2.4.1 Fittest Polynomial Radial Basis Function (FP-RBF) [28]; 2.4.2 Kriging Approximation with Fittest Polynomial Radial Basis Function (KRG-FP-RBF) ; 2.4.3 Hybrid Self Organizing Model With RBF [20].; Note: Online resource; title from PDF title page (SpringerLink, viewed January 8, 2015).
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