Ranking strategies and threats: a cost-based pareto optimization approach

2009 ◽  
Vol 26 (1) ◽  
pp. 127-150
Author(s):  
Youngdae Kim ◽  
Gae-won You ◽  
Seung-won Hwang
2021 ◽  
Author(s):  
Maryam Parsa ◽  
Catherine Schuman ◽  
Nitin Rathi ◽  
Amir Ziabari ◽  
Derek Rose ◽  
...  

Author(s):  
Vahid Roostapour ◽  
Aneta Neumann ◽  
Frank Neumann ◽  
Tobias Friedrich

In this paper, we consider the subset selection problem for function f with constraint bound B which changes over time. We point out that adaptive variants of greedy approaches commonly used in the area of submodular optimization are not able to maintain their approximation quality. Investigating the recently introduced POMC Pareto optimization approach, we show that this algorithm efficiently computes a φ = (αf/2)(1− α1f )-approximation, where αf is the sube modularity ratio of f, for each possible constraint bound b ≤ B. Furthermore, we show that POMC is able to adapt its set of solutions quickly in the case that B increases. Our experimental investigations for the influence maximization in social networks show the advantage of POMC over generalized greedy algorithms.


2012 ◽  
Vol 56 (1) ◽  
pp. 157-168 ◽  
Author(s):  
Sara Modarres Razavi ◽  
Di Yuan ◽  
Fredrik Gunnarsson ◽  
Johan Moe

2016 ◽  
Vol 13 (10) ◽  
pp. 7701-7704
Author(s):  
Chao Chen ◽  
Changjun Fan ◽  
Xingxing Liang

Resource allocation is an important procedure which involves allocating finite resources to the activities of a given baseline schedule. Based on the conception of Pareto Optimization, a multiobjective optimization approach for the resource allocation problem is proposed in this paper. The problem is first described. Then the detailed procedure of the proposed algorithm is given. Finally, an extensive computational results obtained on a set of benchmark problems are reported.


2020 ◽  
Vol 13 (2) ◽  
pp. 246-271
Author(s):  
Deborah E. Rupp ◽  
Q. Chelsea Song ◽  
Nicole Strah

AbstractIt is necessary for personnel selection systems to be effective, fair, and legally appropriate. Sometimes these goals are complementary, whereas other times they conflict (leading to the so-called “validity-diversity dilemma”). In this practice forum, we trace the history and legality of proposed approaches for simultaneously maximizing job performance and diversity through personnel selection, leading to a review of a more recent method, the Pareto-optimization approach. We first describe the method at various levels of complexity and provide guidance (with examples) for implementing the technique in practice. Then, we review the potential points at which the method might be challenged legally and present defenses against those challenges. Finally, we conclude with practical tips for implementing Pareto-optimization within personnel selection.


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