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"Operations Research, Management Science"
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Globalized inexact proximal Newton-type methods for nonconvex composite functions
Optimization problems with composite functions consist of an objective function which is the sum of a smooth and a (convex) nonsmooth term. This particular structure is exploited by the class of proximal gradient methods and some of their generalizations like proximal Newton and quasi-Newton methods. The current literature on these classes of methods almost exclusively considers the case where also the smooth term is convex. Here we present a globalized proximal Newton-type method which allows the smooth term to be nonconvex. The method is shown to have nice global and local convergence properties, and some numerical results indicate that this method is very promising also from a practical point of view.
Journal Article
Bibliometrics in operations research and management science: a university analysis
Many universities around the World have made important contributions in the field of operations research and management science. This article presents the most productive and influential universities between 1991 and 2015. For doing so, we use the Web of Science database in order to search for the information which is usually regarded as the most relevant for scientific research. The results show the country of origin of the leading universities being mainly from North America and Asia and especially from USA and China. The Centre National de la Recherche Scientifique (CNRS) of France is the most productive university while the Massachusetts Institute of Technology (MIT) of USA is the most influential one. The temporal evolution shows that USA is trailing its dominancy while China progressing quickly. The evaluation also reveals that Asian universities outperform North American universities during the last 5 years.
Journal Article
Deciding for Others Reduces Loss Aversion
We study risk taking on behalf of others, both when choices involve losses and when they do not. A large-scale incentivized experiment with subjects randomly drawn from the Danish population is conducted. We find that deciding for others reduces loss aversion. When choosing between risky prospects for which losses are ruled out by design, subjects make the same choices for themselves as for others. In contrast, when losses are possible, we find that the two types of choices differ. In particular, we find that subjects who make choices for themselves take less risk than those who decide for others when losses loom. This finding is consistent with an interpretation of loss aversion as a bias in decision making driven by emotions and that these emotions are reduced when making decisions for others.
This paper was accepted by Uri Gneezy, behavioral economics
.
Journal Article
Fare inspection patrolling under in-station selective inspection policy
A patrolling strategy that defines fare inspection frequencies on a proof-of-payment transportation system is operationally useful to the transit authority when there is a mechanism for its practical implementation. This study addresses the operational implementation of a fare inspection patrolling strategy under an in-station selective inspection policy using an unpredictable patrolling schedule, where the transit authority select a patrolling schedule each day with some probability. The challenge is to determine the set of patrolling schedules and their respective probabilities of being selected whose systematic day-to-day application matches the inspection frequencies that inhibit the action of opportunistic passengers in the medium term. A Stackelberg game approach is used to represent the hierarchical decision making process between the transit authority and opportunistic passengers. The heterogeneity of opportunistic passengers’ decisions to evade fare payment is taken into account. Numerical experiments show that a joint strategy-schedule approach provides good-quality unpredictable patrolling schedules with respect to the optimality gap for large-scale networks.
Journal Article
21 volumes for the 21st century
This is the traditional triennial note used by the Editors to give the readers of
4OR
information on the state of the journal and its future. In the three years that have passed since the last editorial note (Crama et al. in 4OR, 19:1–13, 2021), three volumes (each containing four issues) of the journal have been published: vol. 19 (2021), vol. 20 (2022), and vol. 21 (2023).
Journal Article
Meta-frontier: literature review and toolkit
Introduced in the 1970s and refined at the beginning of the 2000s, the concept of meta-frontier is now recognized as the most popular operations research technique to deal with technology heterogeneity when conducting an efficiency analysis. As proof, the number of publications has followed an exponential trend with almost 800 publications overall. In short, the concept is based on partitioning DMUs into groups where each group uses its technology. The meta-frontier is defined as the envelopment of the group-specific counterparts. Technology gap ratios are evaluated to distinguish inefficiency behaviours from technological differences. After 20 years of applications and extensions, it is now time to assess the impact of the meta-frontier in the efficiency analysis literature. In this paper, we present a systematic literature review of the concept of meta-frontier. We cover several important aspects such as its origins, developments, and applications, and discuss technical considerations. An important focus will be made on how the partitioning of the DMUs into groups is made in practice; a crucial aspect of the meta-frontier technique. Beyond a simple literature review, this paper represents a guideline and toolkit for practitioners.
Journal Article
Finding the most sustainable wind farm sites with a hierarchical outranking decision aiding method
This paper considers the problem of finding suitable sites for wind farms in a region of Catalonia (Spain). The evaluation criteria are structured into a hierarchy that identifies several intermediate sub-goals dealing with different points of view. Therefore, the recent ELECTRE-III-H hierarchical multi-criteria analysis method is proposed as a good solution to help decision-makers. This method establishes an order among the set of possible sites for the wind farms for each sub-goal. ELECTRE-III-H aggregates these orders into an overall order using different parameters. The procedure is based on the construction and exploitation of a pairwise outranking relation, following the principles of concordance (i.e. majority rule) and discordance (i.e. respect for the minority opinions). This paper makes two main contributions. First, it contributes to the ELECTRE-III-H method by studying its mathematical properties for the construction of outranking relations. Second, the case study is solved and its results show that we can effectively represent and manage the overall influence of the various criteria on the global result at different levels of the hierarchy. The paper compares different scenarios with strict, normal, and optimistic preference, indifference and veto thresholds. Results show that the best site differs for technical, economic, environmental, and social intermediate criteria. Therefore, the best overall solution changes depending on the preference and veto thresholds fixed at the intermediate level of the hierarchy.
Journal Article
Douglas–Rachford Splitting for the Sum of a Lipschitz Continuous and a Strongly Monotone Operator
The Douglas–Rachford method is a popular splitting technique for finding a zero of the sum of two subdifferential operators of proper, closed, and convex functions and, more generally, two maximally monotone operators. Recent results concerned with linear rates of convergence of the method require additional properties of the underlying monotone operators, such as strong monotonicity and cocoercivity. In this paper, we study the case, when one operator is Lipschitz continuous but not necessarily a subdifferential operator and the other operator is strongly monotone. This situation arises in optimization methods based on primal–dual approaches. We provide new linear convergence results in this setting.
Journal Article
Person–Organization Fit and Incentives: A Causal Test
We investigate the effects of organizational culture and personal values on performance under individual and team contest incentives. We develop a model of regard for others and in-group favoritism that predicts interaction effects between organizational values and personal values in contest games. These predictions are tested in a computerized lab experiment with exogenous control of both organizational values and incentives. In line with our theoretical model, we find that prosocial (proself)-orientated subjects exert more (less) effort in team contests in the primed prosocial organizational values condition, relative to the neutrally primed baseline condition. Further, when the prosocial organizational values are combined with individual contest incentives, prosocial subjects no longer outperform their proself counterparts. These findings provide, to our knowledge, a first, affirmative, causal test of person–organization fit theory. They also suggest the importance of a “triple-fit” between personal preferences, organizational values, and incentive mechanisms for prosocially orientated individuals.
This paper was accepted by John List, behavioral economics
.
Journal Article