Recent studies in maritime shipping have concentrated on environmental and economic impacts of ships. In this regard, fuel is considered as one the important factors for such impacts. particular, sailing speed vessels affects consumption directly. study, we consider a optimization problem liner shipping, which characterized by stochastic port times time windows. The objective to minimize total while maintaining schedule reliability. We develop dynamic programing model discretizing arrival...

Speed optimization of liner vessels has significant economic and environmental impact for reducing fuel cost Green House Gas (GHG) emission as the shipping over maritime logistics takes more than 70% world transportation. While slow steaming is widely used best practices companies, they are also under pressure to maintain service level agreement (SLA) with their cargo clients. Thus, deciding optimal speed that minimizes consumption while maintaining SLA managerial decision problem. Studies...

Airline revenue management is concerned with identifying the maximum seat allocation policies. Because a major loss in results from cancellations and no-shows, overbooking has received significant attention literature over years. In this study, we propose new static dynamic single-leg models. case introduce two models: first one aims to determine limit second about finding booking limits allocate virtual capacity among multiple fare classes. model hard solve, also computationally tractable...

There is a growing need for investigating how machine learning models operate. With this work, we aim to understand trained by questioning their data preferences. We propose mathematical framework that allows us probe and identify preferred samples in various scenarios including prediction-risky, parameter-sensitive, or model-contrastive samples. To showcase our framework, pose these queries range of on classification regression tasks, receive answers the form generated data.

Many airline reservation systems offer the commitment option to their potential passengers. This allows passengers reserve a seat for fixed duration before making final purchase decision. In this study, we develop single-leg revenue management models that consider such contingent decisions. We start with dynamic programming model of problem. is computationally intractable as it requires storing multidimensional state space because bookkeeping committed seats. To alleviate difficulty, propose...

Energy consumption of a wireless sensor node mainly depends on the amount time spends in each high power active (e.g., transmit, receive) and low sleep modes. It has been well established that order to prolong node's lifetime duty-cycle should be low. However, modes usually have current draw but energy cost while switching mode with higher draw. In this work, we investigate MaxWeightlike opportunistic sleep-active scheduling algorithm takes into account time- varying channel traffic...

We study a collaborative revenue management problem where multiple decentralized parties agree to share some of their capacities. This collaboration is performed by constructing large mathematical programming model that available all parties. The then use the solution this in own capacity control systems. In setting, however, major concern for privacy input data, along with individual optimal solutions. first reformulate general linear can be used wide range network problems. Then we address...

Bilevel optimization, a hierarchical mathematical framework where one optimization problem is nested within another, has emerged as powerful tool for modeling complex decision-making processes in various fields such economics, engineering, and machine learning. This paper focuses on bilevel both upper-level lower-level functions are black boxes expensive to evaluate. We propose Bayesian Optimization that models the upper Gaussian over combined space of decisions, allowing us exploit...

The main limitation of operating sensor networks autonomously is the finite battery capacity nodes. Sensors are usually operated at low duty cycle; that is, they remain in active mode for short duration time, order to prolong network lifetime. However, cycle may result significant performance degradation system operation. Hence, this work, we quantitatively investigate tradeoff between cyle and performance. Specifically, address design efficient channel access protocol, by developing a...

This study examines a resource-sharing problem involving multiple parties that agree to use set of capacities together. We start with modeling the whole as mathematical program, where all are required exchange information obtain optimal objective function value. bears private data from each party in terms coefficients used program. Moreover, also consider individual solutions private. In this setting, concern for is privacy their and allocations. propose two-step approach meet requirements...

We study a collaborative revenue management problem where multiple decentralized parties agree to share some of their capacities. This collaboration is performed by constructing large mathematical programming model available all parties. The then use the solution this in own capacity control systems. In setting, however, major concern for privacy input data along with individual optimal solutions. first reformulate general linear that can be used wide-range network problems. Then, we address...