عنوان
پدید آورنده
موضوع
رده
QA402.5 .M85 2018
QA402
.
5
.
M85
2018
کتابخانه
محل استقرار
شابک
شابک
9789811314711
شابک
9789811314728
شابک
9789811346392
شابک
9811314713
شابک
9811314721
شابک
9811346399
شابک اشتباه
9789811314704
شابک اشتباه
9811314705
عنوان و نام پديدآور
عنوان اصلي
Multi-objective optimization :
نام عام مواد
[Book]
ساير اطلاعات عنواني
evolutionary to hybrid framework /
نام نخستين پديدآور
Jyotsna K. Mandal, Somnath Mukhopadhyay, Paramartha Dutta, editors.
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
Singapore :
نام ناشر، پخش کننده و غيره
Springer,
تاریخ نشرو بخش و غیره
[2018]
مشخصات ظاهری
نام خاص و کميت اثر
1 online resource (xvi, 318 pages) :
ساير جزييات
illustrations (some color)
یادداشتهای مربوط به مندرجات
متن يادداشت
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.
متن يادداشت
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.
متن يادداشت
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.
متن يادداشت
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.
متن يادداشت
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.
بدون عنوان
0
بدون عنوان
8
بدون عنوان
8
بدون عنوان
8
بدون عنوان
8
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
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.
یادداشتهای مربوط به سفارشات
منبع سفارش / آدرس اشتراک
Springer Nature
شماره انبار
com.springer.onix.9789811314711
ویراست دیگر از اثر در قالب دیگر رسانه
عنوان
Multi-objective optimization.
شماره استاندارد بين المللي کتاب و موسيقي
9789811314704
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Mathematical optimization.
موضوع مستند نشده
Mathematical optimization.
موضوع مستند نشده
MATHEMATICS-- Applied.
موضوع مستند نشده
MATHEMATICS-- Probability & Statistics-- General.
مقوله موضوعی
موضوع مستند نشده
MAT-- 003000
موضوع مستند نشده
MAT-- 029000
موضوع مستند نشده
UYA
موضوع مستند نشده
UYA
موضوع مستند نشده
UYAM
موضوع مستند نشده
UYAM
رده بندی ديویی
شماره
519
.
6
ويراست
23
رده بندی کنگره
شماره رده
QA402
.
5
نشانه اثر
.
M85
2018
نام شخص - (مسئولیت معنوی برابر )
مستند نام اشخاص تاييد نشده
Dutta, Paramartha
مستند نام اشخاص تاييد نشده
Mandal, Jyotsna Kumar,1960-
مستند نام اشخاص تاييد نشده
Mukhopadhyay, Somnath,1983-
مبدا اصلی
تاريخ عمليات
20200823224912.0
قواعد فهرست نويسي ( بخش توصيفي )
pn
دسترسی و محل الکترونیکی
نام الکترونيکي
مطالعه متن کتاب اطلاعات رکورد کتابشناسی
نوع ماده
[Book]
اطلاعات دسترسی رکورد
تكميل شده
Y
