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- research-articleFebruary 2025
Pure Nash equilibria in weighted matroid congestion games with non-additive aggregation and beyond
Discrete Applied Mathematics (DAMA), Volume 361, Issue CPages 226–235https://doi.org/10.1016/j.dam.2024.10.017AbstractCongestion games offer a primary model in the study of pure Nash equilibria in non-cooperative games, and a number of generalized models have been proposed in the literature. One line of generalization includes weighted congestion games, in which ...
- research-articleJanuary 2025
Quality-of-service based multipath routing for the internet of things: Quality-of-service based multipath...
AbstractQuick and vast development of the Internet of Things (IoT) applications exhibits varied Quality-of-Service (QoS) requirements. Routing is one of the methods used to build a network capable of providing these requirements. However, traditional ...
- research-articleJanuary 2025
SG-MOACO: a semi-greedy multi-objective ACO method for edge server placement in mobile edge computing: SG-MOACO: a semi-greedy multi-objective ACO method for…
AbstractThe importance of Mobile Edge Computing (MEC) systems has risen due to increasing data volumes from Internet of Things (IoT) devices and connected technologies. These systems place computation power and data storage near the network edge to ...
- research-articleDecember 2024
Fitness landscapes of buffer allocation problem for production lines with unreliable machines
Computers and Operations Research (CORS), Volume 172, Issue Chttps://doi.org/10.1016/j.cor.2024.106819AbstractWe study the structural properties of the buffer allocation problem from the fitness landscape perspective. We consider manufacturing flow lines with series–parallel network structure. The machines are supposed to be unreliable, their time to ...
Highlights- Local optima fitness is negatively correlated with a distance to the best incumbent.
- The set of local optima cannot be encompassed by a ball of relatively small size.
- The crossover helps GA2 locate high quality local optima in hard ...
- research-articleNovember 2024
NS-OWACC: nature-inspired strategies for optimizing workload allocation in cloud computing
AbstractIn modern cloud-based computing through pooled resources, service providers must ensure resource accessibility. The migration of workloads to the cloud necessitates careful planning, including the provision of a sufficient number of easily ...
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- research-articleNovember 2024
Non-submodular maximization with a decomposable objective function
Journal of Combinatorial Optimization (SPJCO), Volume 48, Issue 5https://doi.org/10.1007/s10878-024-01224-9AbstractWe study the non-submodular maximization problem, whose objective function can be expressed as the Difference between two Set (DS) functions or the Ratio between two Set (RS) functions. For the cardinality-constrained and unconstrained DS ...
- rapid-communicationJanuary 2025
Assessing the accuracy of externalities prediction in a LCFS-PR M/G/1 queue under partial information
AbstractConsider a LCFS-PR M / G / 1 queue and assume that at time t = 0, there are n + 1 customers c 1 , c 2 , . . . , c n + 1 who arrived in that order. In addition, at time t = 0 there is an additional customer c with service requirement x > 0 who ...
- research-articleOctober 2024
A MILP model for the connected multidimensional maximum bisection problem
Journal of Combinatorial Optimization (SPJCO), Volume 48, Issue 4https://doi.org/10.1007/s10878-024-01220-zAbstractThe Maximum Bisection Problem (MBP) is a well-known combinatorial optimization problem that has been proven to be NP-hard. The maximum bisection of a graph is the partition of its set of vertices into two subsets with an equal number of vertices, ...
- research-articleOctober 2024
Intelligent decision-making for binary coverage: Unveiling the potential of the multi-armed bandit selector
Expert Systems with Applications: An International Journal (EXWA), Volume 251, Issue Chttps://doi.org/10.1016/j.eswa.2024.124112AbstractIn this article, we propose the integration of a novel reinforcement learning technique into our generic and unified framework. This framework enables any continuous metaheuristic to operate in binary optimization, with the technique in question ...
- research-articleOctober 2024
An efficient probability-based VNS algorithm for delivery territory design
Computers and Operations Research (CORS), Volume 170, Issue Chttps://doi.org/10.1016/j.cor.2024.106756AbstractThis paper deals with the Delivery Territory Design Problem (DTDP), a districting problem that often occurs in delivery operations. The goal of the problem is to construct clusters of nodes (territories) such that the maximum diameter of a ...
Highlights- Delivery Territory Design minimizes maximum district diameters with load balancing.
- We design a probabilistic VNS (ProbVNS) procedure to solve the DTD problem.
- The Shake procedure diversifies and reduces infeasibility.
- We ...
- research-articleOctober 2024
A common generalization of budget games and congestion games
Journal of Combinatorial Optimization (SPJCO), Volume 48, Issue 3https://doi.org/10.1007/s10878-024-01218-7AbstractBudget games were introduced by Drees, Riechers, and Skopalik (2014) as a model of noncooperative games arising from resource allocation problems. Budget games have several similarities to congestion games, one of which is that the matroid ...
- research-articleSeptember 2024
- research-articleSeptember 2024
The maximal covering location disruption problem
Computers and Operations Research (CORS), Volume 169, Issue Chttps://doi.org/10.1016/j.cor.2024.106721AbstractThis research sets forth and examines a new sequential, competitive location problem. The maximal covering location disruption problem is a zero-sum Stackelberg game comprised of two stages. A leader denies access to at most q out of n possible ...
Highlights- Introduces new, relevant game theoretic facility location problem to the literature.
- Formulates a bilevel program for the two-stage, zero-sum, extensive form game.
- Develops two variants each of two heuristic solution methods.
- ...
- research-articleJune 2024
Signed double Roman domination on cubic graphs
Applied Mathematics and Computation (APMC), Volume 471, Issue Chttps://doi.org/10.1016/j.amc.2024.128612AbstractThe signed double Roman domination problem is a combinatorial optimization problem on a graph asking to assign a label from { ± 1 , 2 , 3 } to each vertex feasibly, such that the total sum of assigned labels is minimized. Here feasibility is ...
Highlights- Lower and upper bounds for the Signed Double Roman Domination Number (SDRDN) on cubic graphs are strengthened.
- Tight/optimal bounds on the SDRDN are established for specific classes of (sub)cubic graphs.
- A constraint programming ...