A New Probabilistic Transformation Based On Evolutionary Algorithm For Decision Making

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A New Probabilistic Transformation Based on Evolutionary Algorithm for Decision Making

Author : Yilin Dong
Publisher : Infinite Study
ISBN 13 :
Total Pages : 8 pages
Book Rating : 4./5 ( download)

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Book Synopsis A New Probabilistic Transformation Based on Evolutionary Algorithm for Decision Making by : Yilin Dong

Download or read book A New Probabilistic Transformation Based on Evolutionary Algorithm for Decision Making written by Yilin Dong and published by Infinite Study. This book was released on with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt: The study of alternative probabilistic transformation (PT) in DS theory has emerged recently as an interesting topic, especially in decision making applications. These recent studies have mainly focused on investigating various schemes for assigning both the mass of compound focal elements to each singleton in order to obtain Bayesian belief function for realworld decision making problems. In this paper, work by us also takes inspiration from both Bayesian transformation camps, with a novel evolutionary-based probabilistic transformation (EPT) to select the qualiﬁed Bayesian belief function with the maximum value of probabilistic information content (PIC) beneﬁting from the global optimizing capabilities of evolutionary algorithms. Veriﬁcation of EPT is carried out by testing it on a set of numerical examples on 4D frames. On each problem instance, comparisons are made between the novel method and those existing approaches, which illustrate the superiority of the proposed method in this paper. Moreover, a simple constraint-handling strategy with EPT is proposed to tackle target type tracking (TTT) problem, simulation results of the constrained EPT on TTT problem prove the rationality of this modiﬁcation.

Advances and Applications of DSmT for Information Fusion. Collected Works, Volume 5

Author : Florentin Smarandache
Publisher : Infinite Study
ISBN 13 :
Total Pages : 931 pages
Book Rating : 4./5 ( download)

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Book Synopsis Advances and Applications of DSmT for Information Fusion. Collected Works, Volume 5 by : Florentin Smarandache

Download or read book Advances and Applications of DSmT for Information Fusion. Collected Works, Volume 5 written by Florentin Smarandache and published by Infinite Study. This book was released on with total page 931 pages. Available in PDF, EPUB and Kindle. Book excerpt: This ﬁfth volume on Advances and Applications of DSmT for Information Fusion collects theoretical and applied contributions of researchers working in different ﬁelds of applications and in mathematics, and is available in open-access. The collected contributions of this volume have either been published or presented after disseminating the fourth volume in 2015 (available at fs.unm.edu/DSmT-book4.pdf or www.onera.fr/sites/default/ﬁles/297/2015-DSmT-Book4.pdf) in international conferences, seminars, workshops and journals, or they are new. The contributions of each part of this volume are chronologically ordered. First Part of this book presents some theoretical advances on DSmT, dealing mainly with modiﬁed Proportional Conﬂict Redistribution Rules (PCR) of combination with degree of intersection, coarsening techniques, interval calculus for PCR thanks to set inversion via interval analysis (SIVIA), rough set classiﬁers, canonical decomposition of dichotomous belief functions, fast PCR fusion, fast inter-criteria analysis with PCR, and improved PCR5 and PCR6 rules preserving the (quasi-)neutrality of (quasi-)vacuous belief assignment in the fusion of sources of evidence with their Matlab codes. Because more applications of DSmT have emerged in the past years since the apparition of the fourth book of DSmT in 2015, the second part of this volume is about selected applications of DSmT mainly in building change detection, object recognition, quality of data association in tracking, perception in robotics, risk assessment for torrent protection and multi-criteria decision-making, multi-modal image fusion, coarsening techniques, recommender system, levee characterization and assessment, human heading perception, trust assessment, robotics, biometrics, failure detection, GPS systems, inter-criteria analysis, group decision, human activity recognition, storm prediction, data association for autonomous vehicles, identiﬁcation of maritime vessels, fusion of support vector machines (SVM), Silx-Furtif RUST code library for information fusion including PCR rules, and network for ship classiﬁcation. Finally, the third part presents interesting contributions related to belief functions in general published or presented along the years since 2015. These contributions are related with decision-making under uncertainty, belief approximations, probability transformations, new distances between belief functions, non-classical multi-criteria decision-making problems with belief functions, generalization of Bayes theorem, image processing, data association, entropy and cross-entropy measures, fuzzy evidence numbers, negator of belief mass, human activity recognition, information fusion for breast cancer therapy, imbalanced data classiﬁcation, and hybrid techniques mixing deep learning with belief functions as well.

A novel decision probability transformation method based on belief interval

Author : Zhan Deng
Publisher : Infinite Study
ISBN 13 :
Total Pages : 11 pages
Book Rating : 4./5 ( download)

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Book Synopsis A novel decision probability transformation method based on belief interval by : Zhan Deng

Download or read book A novel decision probability transformation method based on belief interval written by Zhan Deng and published by Infinite Study. This book was released on with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Dempster–Shafer evidence theory, the basic probability assignment (BPA) can effectively represent and process uncertain information. How to transform the BPA of uncertain information into a decision probability remains a problem to be solved. In the light of this issue, we develop a novel decision probability transformation method to realize the transition from the belief decision to the probability decision in the framework of Dempster–Shafer evidence theory. The newly proposed method considers the transformation of BPA with multi-subset focal elements from the perspective of the belief interval, and applies the continuous interval argument ordered weighted average operator to quantify the data information contained in the belief interval for each singleton. Afterward, we present an approach to calculate the support degree of the singleton based on quantitative data information. According to the support degree of the singleton, the BPA of multi-subset focal elements is allocated reasonably. Furthermore, we introduce the concepts of probabilistic information content in this paper, which is utilized to evaluate the performance of the decision probability transformation method. Eventually, a few numerical examples and a practical application are given to demonstrate the rationality and accuracy of our proposed method.

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation VI

Author : Alexandru-Adrian Tantar
Publisher : Springer
ISBN 13 : 3319697102
Total Pages : 233 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation VI by : Alexandru-Adrian Tantar

Download or read book EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation VI written by Alexandru-Adrian Tantar and published by Springer. This book was released on 2017-11-09 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises selected research papers from the 2015 edition of the EVOLVE conference, which was held on June 18–June 24, 2015 in Iași, Romania. It presents the latest research on Probability, Set Oriented Numerics, and Evolutionary Computation. The aim of the EVOLVE conference was to provide a bridge between probability, set oriented numerics and evolutionary computation and to bring together experts from these disciplines. The broad focus of the EVOLVE conference made it possible to discuss the connection between these related fields of study computational science. The selected papers published in the proceedings book were peer reviewed by an international committee of reviewers (at least three reviews per paper) and were revised and enhanced by the authors after the conference. The contributions are categorized into five major parts, which are: Multicriteria and Set-Oriented Optimization; Evolution in ICT Security; Computational Game Theory; Theory on Evolutionary Computation; Applications of Evolutionary Algorithms. The 2015 edition shows a major progress in the aim to bring disciplines together and the research on a number of topics that have been discussed in previous editions of the conference matured over time and methods have found their ways in applications. In this sense the book can be considered an important milestone in bridging and thereby advancing state-of-the-art computational methods.

Theory of Evolutionary Computation

Author : Benjamin Doerr
Publisher : Springer Nature
ISBN 13 : 3030294145
Total Pages : 506 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Theory of Evolutionary Computation by : Benjamin Doerr

Download or read book Theory of Evolutionary Computation written by Benjamin Doerr and published by Springer Nature. This book was released on 2019-11-20 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book reports on recent developments in the theory of evolutionary computation, or more generally the domain of randomized search heuristics. It starts with two chapters on mathematical methods that are often used in the analysis of randomized search heuristics, followed by three chapters on how to measure the complexity of a search heuristic: black-box complexity, a counterpart of classical complexity theory in black-box optimization; parameterized complexity, aimed at a more fine-grained view of the difficulty of problems; and the fixed-budget perspective, which answers the question of how good a solution will be after investing a certain computational budget. The book then describes theoretical results on three important questions in evolutionary computation: how to profit from changing the parameters during the run of an algorithm; how evolutionary algorithms cope with dynamically changing or stochastic environments; and how population diversity influences performance. Finally, the book looks at three algorithm classes that have only recently become the focus of theoretical work: estimation-of-distribution algorithms; artificial immune systems; and genetic programming. Throughout the book the contributing authors try to develop an understanding for how these methods work, and why they are so successful in many applications. The book will be useful for students and researchers in theoretical computer science and evolutionary computing.

Transformation method of decision-making probability based on correlation degree

Author : ZHAO Yu-xin
Publisher : Infinite Study
ISBN 13 :
Total Pages : 7 pages
Book Rating : 4./5 ( download)

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Book Synopsis Transformation method of decision-making probability based on correlation degree by : ZHAO Yu-xin

Download or read book Transformation method of decision-making probability based on correlation degree written by ZHAO Yu-xin and published by Infinite Study. This book was released on with total page 7 pages. Available in PDF, EPUB and Kindle. Book excerpt: To slove the problem in the transformation of basic probability assignment to decision-making probability, this paper proposed a novel transformation method based on correlation degree. The correlation degree between basic probability assignment of singleton proposition and decision-making probability was used to evaluate the transformation method, and the decision-making probability of each proposition was achieved by linear combination, which was the transformation method of decision-making probability based on proportional belief and proportional plausibility. The proposed method was compared to the other usual methods with an example. The experimental result shows that the proposed method is more reasonable and eﬀective.

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II

Author : Oliver Schütze
Publisher : Springer
ISBN 13 : 9783642315206
Total Pages : 508 pages
Book Rating : 4.3/5 (152 download)

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Book Synopsis EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II by : Oliver Schütze

Download or read book EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II written by Oliver Schütze and published by Springer. This book was released on 2012-08-14 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises a selection of papers from the EVOLVE 2012 held in Mexico City, Mexico. The aim of the EVOLVE is to build a bridge between probability, set oriented numerics and evolutionary computing, as to identify new common and challenging research aspects. The conference is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background. EVOLVE is intended to unify theory-inspired methods and cutting-edge techniques ensuring performance guarantee factors. By gathering researchers with different backgrounds, a unified view and vocabulary can emerge where the theoretical advancements may echo in different domains. Summarizing, the EVOLVE focuses on challenging aspects arising at the passage from theory to new paradigms and aims to provide a unified view while raising questions related to reliability, performance guarantees and modeling. The papers of the EVOLVE 2012 make a contribution to this goal.

Evolutionary Algorithms

Author : William M. Spears
Publisher : Springer Science & Business Media
ISBN 13 : 3662041995
Total Pages : 224 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis Evolutionary Algorithms by : William M. Spears

Download or read book Evolutionary Algorithms written by William M. Spears and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite decades of work in evolutionary algorithms, there remains an uncertainty as to the relative benefits and detriments of using recombination or mutation. This book provides a characterization of the roles that recombination and mutation play in evolutionary algorithms. It integrates important prior work and introduces new theoretical techniques for studying evolutionary algorithms. Consequences of the theory are explored and a novel method for comparing search and optimization algorithms is introduced. The focus allows the book to bridge multiple communities, including evolutionary biologists and population geneticists.

Algorithms for Decision Making

Author : Mykel J. Kochenderfer
Publisher : MIT Press
ISBN 13 : 0262047012
Total Pages : 701 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Algorithms for Decision Making by : Mykel J. Kochenderfer

Download or read book Algorithms for Decision Making written by Mykel J. Kochenderfer and published by MIT Press. This book was released on 2022-08-16 with total page 701 pages. Available in PDF, EPUB and Kindle. Book excerpt: A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them. Automated decision-making systems or decision-support systems—used in applications that range from aircraft collision avoidance to breast cancer screening—must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them. The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act through interaction with the environment; state uncertainty, in which we do not know the current state of the environment due to imperfect perceptual information; and decision contexts involving multiple agents. The book focuses primarily on planning and reinforcement learning, although some of the techniques presented draw on elements of supervised learning and optimization. Algorithms are implemented in the Julia programming language. Figures, examples, and exercises convey the intuition behind the various approaches presented.

Evolve - a Bridge Between Probability, Set Oriented Numerics, and Evolutionary Computation V

Author : Alexandru-Adrian Tantar
Publisher :
ISBN 13 : 9783319074955
Total Pages : 352 pages
Book Rating : 4.0/5 (749 download)

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Book Synopsis Evolve - a Bridge Between Probability, Set Oriented Numerics, and Evolutionary Computation V by : Alexandru-Adrian Tantar

Download or read book Evolve - a Bridge Between Probability, Set Oriented Numerics, and Evolutionary Computation V written by Alexandru-Adrian Tantar and published by . This book was released on 2014-06-30 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt:

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V

Author : Alexandru-Adrian Tantar
Publisher : Springer
ISBN 13 : 3319074946
Total Pages : 329 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V by : Alexandru-Adrian Tantar

Download or read book EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V written by Alexandru-Adrian Tantar and published by Springer. This book was released on 2014-06-04 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume encloses research articles that were presented at the EVOLVE 2014 International Conference in Beijing, China, July 1–4, 2014. The book gathers contributions that emerged from the conference tracks, ranging from probability to set oriented numerics and evolutionary computation; all complemented by the bridging purpose of the conference, e.g. Complex Networks and Landscape Analysis, or by the more application oriented perspective. The novelty of the volume, when considering the EVOLVE series, comes from targeting also the practitioner’s view. This is supported by the Machine Learning Applied to Networks and Practical Aspects of Evolutionary Algorithms tracks, providing surveys on new application areas, as in the networking area and useful insights in the development of evolutionary techniques, from a practitioner’s perspective. Complementary to these directions, the conference tracks supporting the volume, follow on the individual advancements of the subareas constituting the scope of the conference, through the Computational Game Theory, Local Search and Optimization, Genetic Programming, Evolutionary Multi-objective optimization tracks.

Genetic Algorithms: Principles and Perspectives

Author : Colin R. Reeves
Publisher : Springer Science & Business Media
ISBN 13 : 0306480506
Total Pages : 337 pages
Book Rating : 4.3/5 (64 download)

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Book Synopsis Genetic Algorithms: Principles and Perspectives by : Colin R. Reeves

Download or read book Genetic Algorithms: Principles and Perspectives written by Colin R. Reeves and published by Springer Science & Business Media. This book was released on 2006-04-11 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory is a survey of some important theoretical contributions, many of which have been proposed and developed in the Foundations of Genetic Algorithms series of workshops. However, this theoretical work is still rather fragmented, and the authors believe that it is the right time to provide the field with a systematic presentation of the current state of theory in the form of a set of theoretical perspectives. The authors do this in the interest of providing students and researchers with a balanced foundational survey of some recent research on GAs. The scope of the book includes chapter-length discussions of Basic Principles, Schema Theory, "No Free Lunch", GAs and Markov Processes, Dynamical Systems Model, Statistical Mechanics Approximations, Predicting GA Performance, Landscapes and Test Problems.

Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques

Author : Manuel Barros
Publisher : Springer Science & Business Media
ISBN 13 : 3642123457
Total Pages : 247 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques by : Manuel Barros

Download or read book Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques written by Manuel Barros and published by Springer Science & Business Media. This book was released on 2010-04-22 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: The microelectronics market, with special emphasis to the production of complex mixed-signal systems-on-chip (SoC), is driven by three main dynamics, time-- market, productivity and managing complexity. Pushed by the progress in na- meter technology, the design teams are facing a curve of complexity that grows exponentially, thereby slowing down the productivity design rate. Analog design automation tools are not developing at the same pace of technology, once custom design, characterized by decisions taken at each step of the analog design flow, - lies most of the time on designer knowledge and expertise. Actually, the use of - sign management platforms, like the Cadences Virtuoso platform, with a set of - tegrated CAD tools and database facilities to deal with the design transformations from the system level to the physical implementation, can significantly speed-up the design process and enhance the productivity of analog/mixed-signal integrated circuit (IC) design teams. These design management platforms are a valuable help in analog IC design but they are still far behind the development stage of design automation tools already available for digital design. Therefore, the development of new CAD tools and design methodologies for analog and mixed-signal ICs is ess- tial to increase the designer’s productivity and reduce design productivitygap. The work presented in this book describes a new design automation approach to the problem of sizing analog ICs.

The Theory of Evolution Strategies

Author : Hans-Georg Beyer
Publisher : Springer
ISBN 13 : 9783642086700
Total Pages : 381 pages
Book Rating : 4.0/5 (867 download)

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Book Synopsis The Theory of Evolution Strategies by : Hans-Georg Beyer

Download or read book The Theory of Evolution Strategies written by Hans-Georg Beyer and published by Springer. This book was released on 2010-12-06 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary algorithms, such as evolution strategies, genetic algorithms, or evolutionary programming, have found broad acceptance in the last ten years. In contrast to its broad propagation, theoretical analysis in this subject has not progressed as much. This monograph provides the framework and the first steps toward the theoretical analysis of Evolution Strategies (ES). The main emphasis is deriving a qualitative understanding of why and how these ES algorithms work.

Evolutionary Computation

Author : Ashish M. Gujarathi
Publisher : CRC Press
ISBN 13 : 1315342162
Total Pages : 646 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Evolutionary Computation by : Ashish M. Gujarathi

Download or read book Evolutionary Computation written by Ashish M. Gujarathi and published by CRC Press. This book was released on 2016-12-01 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: Edited by professionals with years of experience, this book provides an introduction to the theory of evolutionary algorithms and single- and multi-objective optimization, and then goes on to discuss to explore applications of evolutionary algorithms for many uses with real-world applications. Covering both the theory and applications of evolutionary computation, the book offers exhaustive coverage of several topics on nontraditional evolutionary techniques, details working principles of new and popular evolutionary algorithms, and discusses case studies on both scientific and real-world applications of optimization

Evolutionary Algorithms in Management Applications

Author : Jörg Biethahn
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (456 download)

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Book Synopsis Evolutionary Algorithms in Management Applications by : Jörg Biethahn

Download or read book Evolutionary Algorithms in Management Applications written by Jörg Biethahn and published by . This book was released on 1995 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

New Achievements in Evolutionary Computation

Author : Peter Korosec
Publisher : BoD – Books on Demand
ISBN 13 : 9533070536
Total Pages : 330 pages
Book Rating : 4.5/5 (33 download)

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Book Synopsis New Achievements in Evolutionary Computation by : Peter Korosec

Download or read book New Achievements in Evolutionary Computation written by Peter Korosec and published by BoD – Books on Demand. This book was released on 2010-02-01 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary computation has been widely used in computer science for decades. Even though it started as far back as the 1960s with simulated evolution, the subject is still evolving. During this time, new metaheuristic optimization approaches, like evolutionary algorithms, genetic algorithms, swarm intelligence, etc., were being developed and new fields of usage in artificial intelligence, machine learning, combinatorial and numerical optimization, etc., were being explored. However, even with so much work done, novel research into new techniques and new areas of usage is far from over. This book presents some new theoretical as well as practical aspects of evolutionary computation. This book will be of great value to undergraduates, graduate students, researchers in computer science, and anyone else with an interest in learning about the latest developments in evolutionary computation.