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BL
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| Record Number
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889918
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| Title & Author
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Multi-objective optimization : : evolutionary to hybrid framework /\ Jyotsna K. Mandal, Somnath Mukhopadhyay, Paramartha Dutta, editors.
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| Publication Statement
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Singapore :: Springer,, [2018]
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| Page. NO
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1 online resource (xvi, 318 pages) :: illustrations (some color)
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| ISBN
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9789811314711
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: 9789811314728
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: 9789811346392
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: 9811314713
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: 9811314721
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: 9811346399
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9789811314704
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9811314705
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| Contents
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Intro; Foreword; Editorial Preface; Contents; About the Editors; Non-dominated Sorting Based Multi/Many-Objective Optimization: Two Decades of Research and Application; 1 Introduction; 2 Across Different Scenarios; 2.1 Multi/Many-Objective Optimization; 2.2 Single-objective Optimization; 3 Recent Non-dominated Sorting Based Algorithms; 3.2 Other Successful Algorithms; 4 State-of-the-Art Combinations; 4.1 Alternating Phases; 4.2 Two Local Search Operators; 4.3 B-NSGA-III Results; 5 Conclusions; References; Mean-Entropy Model of Uncertain Portfolio Selection Problem.
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1 Introduction2 Literature Study; 3 Preliminaries; 4 Uncertain Multi-Objective Programming; 4.1 Weighted Sum Method; 4.2 Weighted Metric Method; 5 Multi-Objective Genetic Algorithm; 5.1 Nondominated Sorting Genetic Algorithm II (NSGA-II); 5.2 Multi-Objective Evolutionary Algorithm Based on Decomposition (MOEA/D); 6 Performance Metrics; 7 Proposed Uncertain Bi-Objective Portfolio Selection Model; 8 Results and Discussion; 9 Conclusion; References.
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3 Definitions of Variables and Parameters4 Descriptions of Goals and Constraints; 4.1 Performance Measure Goals; 4.2 System Constraints; 5 An Illustrative Example; 5.1 Construction of Model Goals; 5.2 Description of Constraints; 5.3 Performance Comparison; 6 Conclusions and Future Scope; References; Multi-objective Optimization to Improve Robustness in Networks; 1 Introduction; 1.1 Robustness Measures Based on the Eigenvalues of the Adjacency Matrix; 1.2 Measures Based on the Eigenvalues of the Laplacian Matrix; 1.3 Measures Based on Other Properties.
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4.2 Computation of Fitness Functions4.3 Genetic Operators; 4.4 Final Solution from the Non-dominated Front; 5 Experimental Results and Discussion; 5.1 Dataset and Preprocessing; 5.2 Experimental Setup; 5.3 Study of GO Enrichment; 5.4 Study of KEGG Pathway Enrichment; 6 Conclusion; References; Interval-Valued Goal Programming Method to Solve Patrol Manpower Planning Problem for Road Traffic Management Using Genetic Algorithm; 1 Introduction; 2 IVGP Formulation; 2.1 Deterministic Flexible Goals; 2.2 IVGP Model; 2.3 The IVGP Algorithm; 2.4 GA Computational Scheme for IVGP Model.
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Incorporating Gene Ontology Information in Gene Expression Data Clustering Using Multiobjective Evolutionary Optimization: Application in Yeast Cell Cycle Data1 Introduction; 2 Gene Ontology and Similarity Measures; 2.1 Resnik's Measure; 2.2 Lin's Measure; 2.3 Weighted Jaccard Measure; 2.4 Combining Expression-Based and GO-Based Distances; 3 Multiobjective Optimization and Clustering; 3.1 Formal Definitions; 3.2 Multiobjective Clustering; 4 Incorporating GO Knowledge in Multiobjective Clustering; 4.1 Chromosome Representation and Initialization of Population.
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| Abstract
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This book brings together the latest findings on efficient solutions of multi/many-objective optimization problems from the leading researchers in the field. The focus is on solving real-world optimization problems using strategies ranging from evolutionary to hybrid frameworks, and involving various computation platforms. The topics covered include solution frameworks using evolutionary to hybrid models in application areas like Analytics, Cancer Research, Traffic Management, Networks and Communications, E-Governance, Quantum Technology, Image Processing, etc. As such, the book offers a valuable resource for all postgraduate students and researchers interested in exploring solution frameworks for multi/many-objective optimization problems.
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| Subject
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Mathematical optimization.
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| Subject
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Mathematical optimization.
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| Subject
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MATHEMATICS-- Applied.
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| Subject
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MATHEMATICS-- Probability Statistics-- General.
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| Dewey Classification
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519.6
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| LC Classification
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QA402.5.M85 2018
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| Added Entry
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Dutta, Paramartha
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Mandal, Jyotsna Kumar,1960-
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Mukhopadhyay, Somnath,1983-
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