List of Figures. List of Tables. Preface. Foreword. 1. Basic Concepts. 2. Evolutionary Algorithm MOP Approaches. 3. MOEA Test Suites. 4. MOEA Testing and Analysis. 5. MOEA Theory and Issues. 3. MOEA Theoretical Issues. 6. Applications. 7. MOEA Parallelization. 8. Multi-Criteria Decision Making. 9. Special Topics. 10. Epilog. Appendix A: MOEA Classification and Technique Analysis. Appendix B: MOPs in the Literature. Appendix C: Ptrue & PFtrue for Selected Numeric MOPs. Appendix D: Ptrue & PFtrue for Side-Constrained MOPs. Appendix E: MOEA Software Availability. Appendix F: MOEA-Related Information. Index. References.

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Evolutionary algorithms for solving multi-objective problems

This Handbook aims to provide a guide for constructing and using composite indicators for policy makers, academics, the media and other interested parties. While there are several types of composite indicators, this Handbook is concerned with those which compare and rank country performance in areas such as industrial competitiveness, sustainable development, globalisation and innovation. The Handbook aims to contribute to a better understanding of the complexity of composite indicators and to an improvement of the techniques currently used to build them. In particular, it contains a set of technical guidelines that can help constructors of composite indicators to improve the quality of their outputs. It has been prepared jointly by the OECD (the Statistics Directorate and the Directorate for Science, Technology and Industry) and the Applied Statistics and Econometrics Unit of the Joint Research Centre of the European Commission in Ispra, Italy. Primary authors from the JRC are Michela Nardo, Michaela Saisana, Andrea Saltelli and Stefano Tarantola. Primary authors from the OECD are Anders Hoffmann and Enrico Giovannini. Editorial assistance was provided by Candice Stevens, Gunseli Baygan and Karsten Olsen. The research is partly funded by the European Commission, Research Directorate, under the project KEI (Knowledge Economy Indicators), Contract FP6 No. 502529. In the OECD context, the work has benefitted from a grant from the Danish government. The views expressed are those of the authors and should not be regarded as stating an official position of either the European Commission or the OECD.

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Handbook on Constructing Composite Indicators: Methodology and User Guide

Personalized web services strive to adapt their services (advertisements, news articles, etc.) to individual users by making use of both content and user information. Despite a few recent advances, this problem remains challenging for at least two reasons. First, web service is featured with dynamically changing pools of content, rendering traditional collaborative filtering methods inapplicable. Second, the scale of most web services of practical interest calls for solutions that are both fast in learning and computation.In this work, we model personalized recommendation of news articles as a contextual bandit problem, a principled approach in which a learning algorithm sequentially selects articles to serve users based on contextual information about the users and articles, while simultaneously adapting its article-selection strategy based on user-click feedback to maximize total user clicks.The contributions of this work are three-fold. First, we propose a new, general contextual bandit algorithm that is computationally efficient and well motivated from learning theory. Second, we argue that any bandit algorithm can be reliably evaluated offline using previously recorded random traffic. Finally, using this offline evaluation method, we successfully applied our new algorithm to a Yahoo! Front Page Today Module dataset containing over 33 million events. Results showed a 12.5% click lift compared to a standard context-free bandit algorithm, and the advantage becomes even greater when data gets more scarce.

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A contextual-bandit approach to personalized news article recommendation

Economics and Information Theory

The integration of GIS and multicriteria decision analysis has attracted significant interest over the last 15 years or so This paper surveys the GIS‐based multicriteria decision analysis (GIS‐MCDA) approaches using a literature review and classification of articles from 1990 to 2004 An electronic search indicated that over 300 articles appeared in refereed journals The paper provides taxonomy of those articles and identifies trends and developments in GIS‐MCDA

https://www.tandfonline.com/doi/pdf/10.1080/13658810600661508

GIS‐based multicriteria decision analysis: a survey of the literature

http://tbauler.pbworks.com/w/file/fetch/48548032/Alier-Munda-O%27Neill_weak%2520comparability%2520of%2520values.pdf

Weak Comparability of Values as a Foundation for Ecological Economics

http://millenniumassessment.org/documents/bridging/papers/munda.giuseppe.pdf

Social multi-criteria evaluation: Methodological foundations and operational consequences

Methodological Foundations and Operational Consequences of Social Multi-Criteria Evaluation (SMCE).- Dealing with a Complex World: Multiple Dimensions, Values and Scales.- Operationalizing Technical and Social Incommensurability in an SMCE Framework.- Consistency in Social Multi-Criteria Evaluation.- The Issue of Consistency: Basic Methodological Concepts.- The Issue of Consistency: Basic Discrete Multi-Criteria "Methods".- The Issue of Consistency: Lessons Learned from Social Choice Literature.- Mathematical Procedures to Search for Technical and Social Compromise Solutions.- Searching for the "Technical Compromise Solution": Solving the Discrete Multi-Criterion Problem in an SMCE Framework.- Searching for the "Social Compromise Solution": A Conflict Analysis Procedure for Illuminating Distributional Issues.- Conclusions.

/pdf/social-multi-criteria-evaluation-for-a-sustainable-economy-1229e4bkw3.pdf

Social Multi-Criteria Evaluation for a Sustainable Economy

Multicriteria Evaluation in a Fuzzy Environment

So far, the elementary question of whether one country’s or region’s economy is moving towards sustainability or away from it cannot be answered with unanimous consensus on the ‘measuring rod(s)’ to be employed. The main assumption of this article is that sustainability assessment needs a set of multi-dimensional indicators. From this assumption a question arises: how could such indicators be aggregated? Often, some indicators improve while others deteriorate. For instance, when incomes grow, SO2 might go down while CO2 increases. It has to be noted that this is the classical conflictual situation studied in multi-criteria decision theory. The use of a multi-criterion framework for making operational the ‘measuring of sustainability’ is discussed here by means of illustrative examples and more formal arguments.

Giuseppe Munda

Papers

Weak Comparability of Values as a Foundation for Ecological Economics

Social multi-criteria evaluation: Methodological foundations and operational consequences

Social Multi-Criteria Evaluation for a Sustainable Economy

Multicriteria Evaluation in a Fuzzy Environment

"Measuring Sustainability": a Multi-Criterion Framework