Browsing Journal Articles by Author "Sinha, Ankur"
Now showing items 1-20 of 21
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Accounting for political opinions, power, and influence: a voting advice application
Sinha, Ankur; Pajala, Tommi; Korhonen, Pekka; Wallenius, Jyrki; Dehnokhalaji, Akram (Elsevier, 2017-09-27)Voting Advice Applications (VAAs) are online decision support systems that try to match voters with po- litical parties or candidates in elections, typically based on how each responds to a ... -
Alternate solution approaches for competitive hub location problems
Tiwari, Richa; Jayaswal, Sachin; Sinha, Ankur (European Journal of Operational Research, 2020-08-08)In this paper, we study the hub location problem of an entrant airline that tries to maximize its share in a market with already existing competing players. The problem is modeled as a non-linear integer program, which is ... -
Approximated set-valued mapping approach for handling multiobjective bilevel problems
Sinha, Ankur; Malo, P.; Deb, K. (Elsevier Ltd, 2017)A significant amount of research has been done on bilevel optimization problems both in the realm of classical and evolutionary optimization. However, the multiobjective extensions of bilevel programming have received ... -
Bilevel optimization based on iterative approximation of multiple mappings
Sinha, Ankur; Lu, Zhichao; Deb, Kalyanmoy; Malo, Pekka (Journal of Heuristics, 2020)A large number of application problems involve two levels of optimization, where one optimization task is nested inside the other. These problems are known as bilevel optimization problems and have been studied by both ... -
Capacitated multiple allocation hub location problems under the risk of interdiction: model formulations and solution approaches
Bansal, Vishal; Jayaswal, Sachin; Sinha, Ankur (Springer Nature, 2023-08-31)Hub-and-spoke networks play a critical role in reducing cost and enhancing service levels in various infrastructural sectors since hubs act as the consolidation and transshipment points of the flows. The failure of hubs ... -
The capacitated r-hub interdiction problem with congestion: Models and solution approaches
Bhatt, Sneha Dhyani; Sinha, Ankur; Jayaswal, Sachin (Elsevier, 2024-03-27)We study the r-hub interdiction problem under the case of possible congestion. Hub interdiction problems are modeled as attacker-defender problems to identify a set of r critical hubs from a set of p hubs, which when ... -
Competitive hub location problems: model and solution approaches
Tiwari, Richa; Jayaswal, Sachin; Sinha, Ankur (Elsevier, 2021-03-07)In this paper, we study the hub location problem of an airline that wants to set up its hub and spoke network, in order to maximize its market share in a competitive market. The market share is maximized under the assumption ... -
Convex preference cone-based approach for many objective optimization problems
Sinha, Ankur; Malo, Pekka; Kallio, Markku (Elsevier, 2018-03)Many objective optimization problems have turned out to be a considerable challenge for evolutionary algorithms due to the difficulty of finding and visualizing high-dimensional Pareto frontiers. Fortunately, however, the ... -
An enhanced memetic algorithm for single-objective bilevel optimization problems
Islam, Md Monjurul; Singh, Hemant Kumar; Ray, Tapabrata; Sinha, Ankur (MIT, 2017)Bilevel optimization, as the name reflects, deals with optimization at two interconnected hierarchical levels. The aim is to identify the optimum of an upper-level leader prob- lem, subject to the optimality of a ... -
Evolutionary algorithm for bilevel optimization using approximations of the lower level optimal solution mapping
Sinha, Ankur; Malo, P.; Deb, K. (Elsevier B.V., 2017)Bilevel optimization problems are a class of challenging optimization problems, which contain two levels of optimization tasks. In these problems, the optimal solutions to the lower level problem become possible feasible ... -
Finding better alternatives than those considered in a multiple criteria data sample
Sinha, Ankur; Korhonen, Pekka; Wallenius, Jyrki (Journal of Business Economics, 2016-01)This paper suggests a preference-based method to calculate the probability of finding a better alternative than the ones present in the original data sample. Such a procedure would be useful, for example, while selecting ... -
A gradient-based bilevel optimization approach for tuning regularization hyperparameters
Sinha, Ankur; Khandait, Tanmay; Mohanty, Raja (Springer, 2023-09-29)Hyperparameter tuning in the area of machine learning is often achieved using naive techniques, such as random search and grid search. However, most of these methods seldom lead to an optimal set of hyperparameters and ... -
A multiobjective exploratory procedure for regression model selection
Sinha, Ankur; Pekka, Malo; Timo, Kuosmanen (Taylor & Francis, 2014)Variable selection is recognized as one of the most critical steps in statistical modeling. The problems encountered in engineering and social sciences are commonly characterized by over-abundance of explanatory variables, ... -
Multiple allocation hub interdiction and protection problems: model formulations and solution approaches
Ramamoorthy, Prasanna; Jayaswal, Sachin; Sinha, Ankur; Vidyarthi, Navneet (Elsevier, 2018-03-29)In this paper, we present computationally efficient formulations for the multiple allocation hub interdiction and hub protection problems, which are bilevel and trilevel mixed integer linear programs, respectively. In the ... -
Optimal management of naturally regenerating uneven-aged forests
Sinha, Ankur; Rämö, Janne; Malo, Pekka; Kallio, Markku; Tahvonen, Olli (Elsevier B.V., 2017)A shift from even-aged forest management to uneven-aged management practices leads to a problem rather different from the existing straightforward practice that follows a rotation cycle of artificial regeneration, thinning ... -
A review on bilevel optimization: from classical to evolutionary approaches and applications
Sinha, Ankur; Malo, Pekka; Deb, Kalyanmoy (IEEE, 2018)Bilevel optimization is defined as a mathematical program, where an optimization problem contains another optimization problem as a constraint. These problems have received significant attention from the mathematical ... -
SEntFiN 1.0: entity-aware sentiment analysis for financial news
Sinha, Ankur; Kedas, Satishwar; Kumar, Rishu; Malo, Pekka (Wiley-Blackwell, 2022-03-08)Fine-grained financial sentiment analysis on news headlines is a challenging task requiring human-annotated datasets to achieve high performance. Limited studies have tried to address the sentiment extraction task in a ... -
Solving bilevel multi-criterion optimization problems with lower level decision uncertainty
Sinha, Ankur; Pekka, Malo; Kalyanmoy, Deb; Pekka, Korhonen; Jyrki, Wallenius (IEEE, 2016)Bilevel optimization problems are characterized by a hierarchical leader-follower structure, where the leader desires to optimize her own strategy taking the response of the follower into account. These problems are referred ... -
Solving bilevel optimization problems using Kriging approximations
Sinha, Ankur; Shaikh, Vaseem (IEEE, 2021-03-21)Bilevel optimization involves two levels of optimization, where one optimization problem is nested within the other. The structure of the problem often requires solving a large number of inner optimization problems that ... -
Uncertainty handling in bilevel optimization for robust and reliable solutions
Lu, Zhichao; Deb, Kalyanmoy; Sinha, Ankur (World Scientific, 2018)Uncertainties in variables and parameters cause optimization problems to move away from globally-optimal and uncertain solutions. Practitioners resort to finding robust and reliable solutions in such situations. Bilevel ...