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Although Boolean Constraint Technology has made tremendous progress over the last decade, the efficacy of state-of-the-art solvers is known to vary considerably across different types of problem instances and is known to depend strongly on…

人工智能 · 计算机科学 2014-01-07 Holger Hoos , Roland Kaminski , Marius Lindauer , Torsten Schaub

In this paper, the scheduling problems of landing and takeoff aircraft on a same runway and on dual runways are addressed. In contrast to the approaches based on mixed-integer optimization models in existing works, our approach focuses on…

最优化与控制 · 数学 2025-06-06 Peng Lin , Haopeng Yang , Gui Gui , Mengxiang Zeng , Weihua Gui

Job scheduling is a well-known Combinatorial Optimization problem with endless applications. Well planned schedules bring many benefits in the context of automated systems: among others, they limit production costs and waste. Nevertheless,…

人工智能 · 计算机科学 2023-08-04 Giovanni Bonetta , Davide Zago , Rossella Cancelliere , Andrea Grosso

For the task of moving a group of indistinguishable agents on a connected graph with unit edge lengths into an arbitrary goal formation, it was previously shown that distance optimal paths can be scheduled to complete with a tight…

机器人学 · 计算机科学 2015-03-20 Jingjin Yu

Stochastic sequential decision making often requires hierarchical structure in the problem where each high-level action should be further planned with primitive states and actions. In addition, many real-world applications require a plan…

人工智能 · 计算机科学 2022-05-12 Sungkweon Hong , Brian C. Williams

Since a few years there is an increasing interest in minimizing the energy consumption of computing systems. However in a shared computing system, users want to optimize their experienced quality of service, at the price of a high energy…

数据结构与算法 · 计算机科学 2018-05-30 Christoph Dürr , Łukasz Jeż , Oscar C. Vásquez

The Windows Scheduling Problem, also known as the Pinwheel Problem, is to schedule periodic jobs subject to their processing frequency demands. Instances are given as a set of jobs that have to be processed infinitely often such that the…

计算复杂性 · 计算机科学 2014-10-28 Tobias Jacobs , Salvatore Longo

In this paper we consider shortest path problems in a directed graph where the transitions between nodes are subject to uncertainty. We use a minimax formulation, where the objective is to guarantee that a special destination state is…

数据结构与算法 · 计算机科学 2016-08-08 Dimitri Bertsekas

We study the design of fixed-parameter algorithms for problems already known to be solvable in polynomial time. The main motivation is to get more efficient algorithms for problems with unattractive polynomial running times. Here, we focus…

计算复杂性 · 计算机科学 2021-01-06 Archontia C. Giannopoulou , George B. Mertzios , Rolf Niedermeier

This paper addresses the scheduling problem of minimizing the total weighted tardiness on a single machine with step-deteriorating jobs. With the assumption of deterioration, the job processing times are modeled by step functions of job…

最优化与控制 · 数学 2014-11-04 Peng Guo , Wenming Cheng , Yi Wang

Imprecise computations provide an avenue for scheduling algorithms developed for energy-constrained computing devices by trading off output quality with the utilization of system resources. This work proposes a method for scheduling task…

分布式、并行与集群计算 · 计算机科学 2019-05-14 Amirhossein Esmaili , Mahdi Nazemi , Massoud Pedram

We consider a constrained shortest path problem with two resources. These two resources can be converted into each other in a particular manner. Our practical application is the energy optimal routing of hybrid vehicles. Due to the…

离散数学 · 计算机科学 2016-01-12 Christian Schwan , Martin Strehler

We present an algorithm for steering the output of a linear system from a feasible initial condition to a desired target position, while satisfying input constraints and non-convex output constraints. The system input is generated by a…

系统与控制 · 计算机科学 2017-12-05 Claus Danielson , Avishai Weiss , Karl Berntorp , Stefano Di Cairano

We present a new online algorithm for profit-oriented scheduling on multiple speed-scalable processors. Moreover, we provide a tight analysis of the algorithm's competitiveness. Our results generalize and improve upon work by…

数据结构与算法 · 计算机科学 2012-09-19 Peter Kling , Peter Pietrzyk

In this paper, we address the problem of synthesizing optimal path plans in a 2D subject to spatio-temporal and thermal constraints. Our solution consists of reducing the path planning problem to a Mixed Integer Linear Programming (MILP)…

机器人学 · 计算机科学 2020-07-21 Zahra Rahimi Afzal , Pavana Prabhakar , Pavithra Prabhakar

This paper studies the scheduling of jobs of different families on parallel machines with qualification constraints. Originating from semiconductor manufacturing, this constraint imposes a time threshold between the execution of two jobs of…

人工智能 · 计算机科学 2020-11-23 Margaux Nattaf , Arnaud Malapert

We consider a problem of multi-product scheduling in production. Each product can be produced by a family of alternative multi-machine technologies. Multi-machine technologies require more than one machine at the same time. A sequence…

最优化与控制 · 数学 2011-05-13 Kovalenko Julia Viktorovna

This paper considers parallel machine scheduling with incompatibilities between jobs. The jobs form a graph and no two jobs connected by an edge are allowed to be assigned to the same machine. In particular, we study the case where the…

计算复杂性 · 计算机科学 2021-03-16 Klaus Jansen , Alexandra Lassota , Marten Maack , Tytus Pikies

Encoding logical qubits with surface codes and performing multi-qubit logical operations with lattice surgery is one of the most promising approaches to demonstrate fault-tolerant quantum computing. Thus, a method to efficiently schedule a…

量子物理 · 物理学 2026-04-15 Kou Hamada , Yasunari Suzuki , Yuuki Tokunaga

We examine a standard factory scheduling problem with stochastic processing and setup times, minimizing the expectation of the weighted number of tardy jobs. Because the costs of operators in the schedule are stochastic and sequence…

人工智能 · 计算机科学 2013-02-18 Peter R. Wurman , Michael P. Wellman