Adaptive Scalarization Methods in Multiobjective Optimization

This book presents adaptive solution methods for multiobjective optimization problems based on parameter dependent scalarization approaches.

Adaptive Scalarization Methods in Multiobjective Optimization

Author: Gabriele Eichfelder

Publisher: Springer Science & Business Media

ISBN: 9783540791591

Page: 241

View: 651

This book presents adaptive solution methods for multiobjective optimization problems based on parameter dependent scalarization approaches. Readers will benefit from the new adaptive methods and ideas for solving multiobjective optimization.

Non Convex Multi Objective Optimization

Ehrgott, M.: Approximation algorithms for combinatorial multicriteria optimization
problems. Int. Trans. Oper. Res. 7(1), 5–31 (2000) Eichfelder, G.: Adaptive
Scalarization Methods in Multiobjective Optimization. Springer, Berlin (1986)
Eichfelder ...

Non Convex Multi Objective Optimization

Author: Panos M. Pardalos

Publisher: Springer

ISBN: 3319610074

Page: 192

View: 971

Recent results on non-convex multi-objective optimization problems and methods are presented in this book, with particular attention to expensive black-box objective functions. Multi-objective optimization methods facilitate designers, engineers, and researchers to make decisions on appropriate trade-offs between various conflicting goals. A variety of deterministic and stochastic multi-objective optimization methods are developed in this book. Beginning with basic concepts and a review of non-convex single-objective optimization problems; this book moves on to cover multi-objective branch and bound algorithms, worst-case optimal algorithms (for Lipschitz functions and bi-objective problems), statistical models based algorithms, and probabilistic branch and bound approach. Detailed descriptions of new algorithms for non-convex multi-objective optimization, their theoretical substantiation, and examples for practical applications to the cell formation problem in manufacturing engineering, the process design in chemical engineering, and business process management are included to aide researchers and graduate students in mathematics, computer science, engineering, economics, and business management.

Recent Developments in Vector Optimization

Conference, 190–204 (1979) Eichfelder, G.: Adaptive Scalarization Methods in
Multiobjective Optimization. Springer, Berlin (2008) Eichfelder, G.: An adaptive
scalarization method in multi-objective optimization. SIAM J. Optim. 19, 1694–
1718 ...

Recent Developments in Vector Optimization

Author: Qamrul Hasan Ansari

Publisher: Springer Science & Business Media

ISBN: 9783642211140

Page: 552

View: 465

We always come cross several decision-making problems in our daily life. Such problems are always conflicting in which many different view points should be satisfied. In politics, business, industrial systems, management science, networks, etc. one often encounters such kind of problems. The most important and difficult part in such problems is the conflict between various objectives and goals. In these problems, one has to find the minimum(or maximum) for several objective functions. Such problems are called vector optimization problems (VOP),multi-criteria optimization problems or multi-objective optimization problems. This volume deals with several different topics / aspects of vector optimization theory ranging from the very beginning to the most recent one. It contains fourteen chapters written by different experts in the field of vector optimization.

Modelling Computation and Optimization in Information Systems and Management Sciences

5 Conclusion In this paper, the conic scalarization method is analyzed and main
properties of solutions obtained by this method are explained. ... Eichfelder, G.:
Adaptive Scalarization Methods in Multiobjective Optimization. Springer ...

Modelling  Computation and Optimization in Information Systems and Management Sciences

Author: Hoai An Le Thi

Publisher: Springer

ISBN: 3319181610

Page: 528

View: 902

This proceedings set contains 85 selected full papers presented at the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences - MCO 2015, held on May 11–13, 2015 at Lorraine University, France. The present part I of the 2 volume set includes articles devoted to Combinatorial optimization and applications, DC programming and DCA: thirty years of Developments, Dynamic Optimization, Modelling and Optimization in financial engineering, Multiobjective programming, Numerical Optimization, Spline Approximation and Optimization, as well as Variational Principles and Applications.

Advances in Dynamics Optimization and Computation

Eichfelder, G.: Adaptive Scalarization Methods in Multiobjective Optimization. ...
Eichfelder, G.: Multiobjective bilevel optimization. ... Mart ́ın, A., Schütze, O.:
Pareto tracer: a predictor corrector method for multiobjective optimization
problems.

Advances in Dynamics  Optimization and Computation

Author: Oliver Junge

Publisher: Springer Nature

ISBN: 3030512649

Page: 392

View: 277

This book presents a collection of papers on recent advances in problems concerning dynamics, optimal control and optimization. In many chapters, computational techniques play a central role. Set-oriented techniques feature prominently throughout the book, yielding state-of-the-art algorithms for computing general invariant sets, constructing globally optimal controllers and solving multi-objective optimization problems.

22nd European Symposium on Computer Aided Process Engineering

Exploiting. grid. adaptation. and. structure. detection. in. multi-objective. dynamic.
optimization. problems. Filip Logista,b, Fady ... Scalarization techniques
reformulate the original multi-objective problem into a parametric single-objective
 ...

22nd European Symposium on Computer Aided Process Engineering

Author:

Publisher: Elsevier

ISBN: 0444594566

Page: 1400

View: 452

Computer aided process engineering (CAPE) plays a key design and operations role in the process industries. This conference features presentations by CAPE specialists and addresses strategic planning, supply chain issues and the increasingly important area of sustainability audits. Experts collectively highlight the need for CAPE practitioners to embrace the three components of sustainable development: environmental, social and economic progress and the role of systematic and sophisticated CAPE tools in delivering these goals. Contributions from the international community of researchers and engineers using computing-based methods in process engineering Review of the latest developments in process systems engineering Emphasis on a systems approach in tackling industrial and societal grand challenges

Optimization of Complex Systems Theory Models Algorithms and Applications

This book contains 112 papers selected from about 250 submissions to the 6th World Congress on Global Optimization (WCGO 2019) which takes place on July 8–10, 2019 at University of Lorraine, Metz, France.

Optimization of Complex Systems  Theory  Models  Algorithms and Applications

Author: Hoai An Le Thi

Publisher: Springer

ISBN: 3030218031

Page: 1152

View: 688

This book contains 112 papers selected from about 250 submissions to the 6th World Congress on Global Optimization (WCGO 2019) which takes place on July 8–10, 2019 at University of Lorraine, Metz, France. The book covers both theoretical and algorithmic aspects of Nonconvex Optimization, as well as its applications to modeling and solving decision problems in various domains. It is composed of 10 parts, each of them deals with either the theory and/or methods in a branch of optimization such as Continuous optimization, DC Programming and DCA, Discrete optimization & Network optimization, Multiobjective programming, Optimization under uncertainty, or models and optimization methods in a specific application area including Data science, Economics & Finance, Energy & Water management, Engineering systems, Transportation, Logistics, Resource allocation & Production management. The researchers and practitioners working in Nonconvex Optimization and several application areas can find here many inspiring ideas and useful tools & techniques for their works.

Multi Objective Memetic Algorithms

This principle has been the basic merit for memetic algorithms and has seen
wide application in single optimization problems. Recently, the same ... The most
commonly used scalarization method in local search is weighted sum, in which,
multiple objective functions are turned into a single value by a weight vector. The
weight vector itself can be chosen randomly[15] or can be adapted to change
search ...

Multi Objective Memetic Algorithms

Author: Chi-Keong Goh

Publisher: Springer Science & Business Media

ISBN: 354088050X

Page: 404

View: 739

The application of sophisticated evolutionary computing approaches for solving complex problems with multiple conflicting objectives in science and engineering have increased steadily in the recent years. Within this growing trend, Memetic algorithms are, perhaps, one of the most successful stories, having demonstrated better efficacy in dealing with multi-objective problems as compared to its conventional counterparts. Nonetheless, researchers are only beginning to realize the vast potential of multi-objective Memetic algorithm and there remain many open topics in its design. This book presents a very first comprehensive collection of works, written by leading researchers in the field, and reflects the current state-of-the-art in the theory and practice of multi-objective Memetic algorithms. "Multi-Objective Memetic algorithms" is organized for a wide readership and will be a valuable reference for engineers, researchers, senior undergraduates and graduate students who are interested in the areas of Memetic algorithms and multi-objective optimization.

Intelligent Systems for Automated Learning and Adaptation Emerging Trends and Applications

Chapter 9 Statistical Analysis of Computational Intelligence Algorithms on a
MultiObjective Filter Design Problem Flávio ... (GA), particle swarm optimization (
PSO) and simulated annealing (SA) with multi-objective scalarization methods.

Intelligent Systems for Automated Learning and Adaptation  Emerging Trends and Applications

Author: Chiong, Raymond

Publisher: IGI Global

ISBN: 1605667994

Page: 360

View: 823

"This volume offers intriguing applications, reviews and additions to the methodology of intelligent computing, presenting the emerging trends of state-of-the-art intelligent systems and their practical applications"--Provided by publisher.

The Transactions of the Institute of Electronics Information and Communication Engineers

Recently , generalized scalarizing methods for obtaining Pareto optimal solutions
to multiobjective optimization problems , called hyperplane methods , have been
proposed as a generalization of the well - known scalarization methods . ... 1176
- 1184 ) Adaptive Maintenance and Learning from Failures in a Complex System
Kenji TANAKAT , Member ( 1 Faculty of Engineering , Ibaraki University , Hitachi
 ...

The Transactions of the Institute of Electronics  Information and Communication Engineers

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Publisher:

ISBN:

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