Cantitate/Preț
Produs
Total produse
Vezi coșul
Black Box Optimization, Machine Learning, and No-Free Lunch Theorems de Panos M. Pardalos

Black Box Optimization, Machine Learning, and No-Free Lunch Theorems: Springer Optimization and Its Applications, cartea 170

Editat de Panos M. Pardalos, Varvara Rasskazova, Michael N. Vrahatis
en Limba Engleză Hardback – 27 iun 2021
This edited volume illustrates the connections between machine learning techniques, black box optimization, and no-free lunch theorems. Each of the thirteen contributions focuses on the commonality and interdisciplinary concepts as well as the fundamentals needed to fully comprehend the impact of individual applications and problems.  Current theoretical, algorithmic, and practical methods used are provided to stimulate a new effort towards innovative and efficient solutions. The book is intended for beginners who wish to achieve a broad overview of optimization methods and also for more experienced researchers as well as researchers in mathematics, optimization, operations research, quantitative logistics, data analysis, and statistics, who will benefit from access to a quick reference to key topics and methods. The coverage ranges from mathematically rigorous methods to heuristic and evolutionary approaches in an attempt to equip the reader with different viewpoints of the same problem.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 77013 lei  6-8 săpt.
  Springer International Publishing – 28 iun 2022 77013 lei  6-8 săpt.
Hardback (1) 77616 lei  6-8 săpt.
  Springer International Publishing – 27 iun 2021 77616 lei  6-8 săpt.

Din seria Springer Optimization and Its Applications

  • 15% Numerical Optimization with Computational Errors
    Preț: 62902 lei
  • 15% Optimization Methods and Applications: In Honor of Ivan V. Sergienko's 80th Birthday
    Preț: 65117 lei
  • 18% Computational Mathematics and Variational Analysis
    Preț: 94207 lei
  • 17% Introduction to Geometric Control
    Preț: 36079 lei
  • 17% Graph and Network Theory: An Applied Approach using Mathematica®
    Preț: 46829 lei
  • Introduction to Combinatorial Optimization
    Preț: 36101 lei
  • 18% Polynomial Optimization, Moments, and Applications
    Preț: 77196 lei
  • 17% Introduction to Applied Optimization
    Preț: 39779 lei
  • 18% Optimization Theory and Methods: Nonlinear Programming
    Preț: 111033 lei
  • 15% Nonsmooth Vector Functions and Continuous Optimization
    Preț: 63336 lei
  • 15% Network Models in Economics and Finance
    Preț: 63432 lei
  • Optimization Models in a Transition Economy
    Preț: 39243 lei
  • Selected Applications of Convex Optimization
    Preț: 37259 lei
  • Turnpike Theory of Continuous-Time Linear Optimal Control Problems
    Preț: 38390 lei
  • Optimized Packings with Applications
    Preț: 38848 lei
  • An Introduction to Optimal Satellite Range Scheduling
    Preț: 53524 lei
  • 15% Advances in Stochastic and Deterministic Global Optimization
    Preț: 63495 lei
  • Advances in Mathematical Modeling, Optimization and Optimal Control
    Preț: 38241 lei
  • 15% Optimization and Control of Bilinear Systems: Theory, Algorithms, and Applications
    Preț: 63891 lei
  • 24% Convex Analysis and Global Optimization
    Preț: 61155 lei
  • 18% Mathematical Analysis, Approximation Theory and Their Applications
    Preț: 95291 lei
  • 20% Approximate Solutions of Common Fixed-Point Problems
    Preț: 58591 lei
  • 15% Operations Research, Engineering, and Cyber Security: Trends in Applied Mathematics and Technology
    Preț: 69573 lei
  • 18% Space Engineering: Modeling and Optimization with Case Studies
    Preț: 72759 lei
  • 15% Optimization and Its Applications in Control and Data Sciences: In Honor of Boris T. Polyak’s 80th Birthday
    Preț: 64492 lei
  • 15% Variational Analysis and Aerospace Engineering: Mathematical Challenges for the Aerospace of the Future
    Preț: 64570 lei
  • 18% Progress in Approximation Theory and Applicable Complex Analysis: In Memory of Q.I. Rahman
    Preț: 73008 lei
  • 15% Spatial Interaction Models: Facility Location Using Game Theory
    Preț: 69106 lei
  • 20% Discrete-Time Optimal Control and Games on Large Intervals
    Preț: 58107 lei

Preț: 77616 lei

Preț vechi: 94653 lei
-18% Nou

Puncte Express: 1164
Preț estimativ în valută:
14859€ • 15445$ • 12320£

Carte tipărită la comandă

Livrare economică 06-20 februarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783030665142
ISBN-10: 3030665143
Ilustrații: X, 388 p. 113 illus., 90 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.74 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Springer Optimization and Its Applications

Locul publicării:Cham, Switzerland

Cuprins

Learning enabled constrained black box optimization (Archetti).- Black-box optimization: Methods and applications (Hasan).- Tuning algorithms for stochastic black-box optimization: State of the art and future perspectives (Bartz-Beielstein).- Quality diversity optimization: A novel branch of stochastic optimization (Chatzilygeroudis).- Multi-objective evolutionary algorithms: Past, present and future (Coello C.A).- Black-box and data driven computation (Du).- Mathematically rigorous global optimization and fuzzy optimization: A brief comparison of paradigms, methods, similarities and differences (Kearfott).- Optimization under Uncertainty Explains Empirical Success of Deep Learning Heuristics (Kreinovich).- Variable neighborhood programming as a tool of machine learning (Mladenovic).- Non-lattice covering and quanitization of high dimensional sets (Zhigljavsky).- Finding effective SAT partitionings via black-box optimization (Semenov).- The No Free Lunch Theorem: What are its main implications for the optimization practice? ( Serafino).- What is important about the No Free Lunch theorems? (Wolpert).

Notă biografică

​Panos M. Pardalos serves as distinguished professor of industrial and systems engineering at the University of Florida. Additionally, he is the Paul and Heidi Brown Preeminent Professor of industrial and systems engineering. Professor Pardalos is also an affiliated faculty member of the computer and information science department, the Hellenic Studies Center, and the biomedical engineering program. Additionally, he serves as the director of the Center for Applied Optimization. Professor Pardalos is a world leading expert in global and combinatorial optimization. His recent research interests include network design problems, optimization in telecommunications, ecommerce, data mining, biomedical applications, and massive computing. Panos Pardalos is a prolific author who lectures all over the world. He is the recipient of a multitude of fellowships and awards, the most recent of which is the Humboldt Research Award (2018).

Varvara A. Rasskazova is aResearcher and Senior Lecture in Moscow Aviation Institute. The area of scientific interests is discrete optimization and guaranteed approximation algorithms for solving transportation and assignment problems on Railway and Metallurgical Production. She is an active participant of regular international conferences on Operations Research and Mathematical Programming, and author of more than 40 publications.

Michael N. Vrahatis focuses on mathematics, natural computing and computational intelligence, global optimization, reliable computing and imprecise data, artificial neural networks and machine learning. He has participated in the organization of over 300 conferences serving at several positions, and participated in more than 240 conferences, congresses and advanced schools as active participant, speaker or keynote speaker. He has been a visiting research fellow in many different institutions including Cornell, MIT, CERN, and INRIA. He is a professor in the Department of Mathematics at the University of Patras since 2000. He is also serving as the director of the newly founded Institute of Artificial Intelligence of University of Patras. The corpus of his work consists of over 400 publications. According to Google Scholar his work has been cited more than 16000 times (h-index 56).

Textul de pe ultima copertă

This edited volume illustrates the connections between machine learning techniques, black box optimization, and no-free lunch theorems. Each of the thirteen contributions focuses on the commonality and interdisciplinary concepts as well as the fundamentals needed to fully comprehend the impact of individual applications and problems.  Current theoretical, algorithmic, and practical methods used are provided to stimulate a new effort towards innovative and efficient solutions. The book is intended for beginners who wish to achieve a broad overview of optimization methods and also for more experienced researchers as well as researchers in mathematics, optimization, operations research, quantitative logistics, data analysis, and statistics, who will benefit from access to a quick reference to key topics and methods. The coverage ranges from mathematically rigorous methods to heuristic and evolutionary approaches in an attempt to equip the reader with different viewpoints of the same problem.

Caracteristici

Beginners will achieve an overview of optimization methods Researchers will gain access to to a useful reference on key topics Mathematical rigour and heuristics approaches equip the reader with different viewpoints on the same problem