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Energetic reasoning for energy-constrained scheduling with a continuous resource
by
Lopez, Pierre
, Artigues, Christian
in
Approximation
/ Artificial Intelligence
/ Business and Management
/ Calculus of Variations and Optimal Control; Optimization
/ Computer Science
/ Consumption
/ Embedded systems
/ Energy
/ Energy consumption
/ Mathematical analysis
/ Operations Research
/ Operations Research/Decision Theory
/ Optimization
/ Polynomials
/ Problem solving
/ Reasoning
/ Scheduling
/ Studies
/ Supply Chain Management
/ Texts
/ Windows (intervals)
2015
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Energetic reasoning for energy-constrained scheduling with a continuous resource
by
Lopez, Pierre
, Artigues, Christian
in
Approximation
/ Artificial Intelligence
/ Business and Management
/ Calculus of Variations and Optimal Control; Optimization
/ Computer Science
/ Consumption
/ Embedded systems
/ Energy
/ Energy consumption
/ Mathematical analysis
/ Operations Research
/ Operations Research/Decision Theory
/ Optimization
/ Polynomials
/ Problem solving
/ Reasoning
/ Scheduling
/ Studies
/ Supply Chain Management
/ Texts
/ Windows (intervals)
2015
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Energetic reasoning for energy-constrained scheduling with a continuous resource
by
Lopez, Pierre
, Artigues, Christian
in
Approximation
/ Artificial Intelligence
/ Business and Management
/ Calculus of Variations and Optimal Control; Optimization
/ Computer Science
/ Consumption
/ Embedded systems
/ Energy
/ Energy consumption
/ Mathematical analysis
/ Operations Research
/ Operations Research/Decision Theory
/ Optimization
/ Polynomials
/ Problem solving
/ Reasoning
/ Scheduling
/ Studies
/ Supply Chain Management
/ Texts
/ Windows (intervals)
2015
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Energetic reasoning for energy-constrained scheduling with a continuous resource
Journal Article
Energetic reasoning for energy-constrained scheduling with a continuous resource
2015
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Overview
This paper addresses a scheduling problem with continuous resources and energy constraints. Given a set of non-preemptive activities, each activity requires a continuously divisible resource whose instantaneous usage is limited in maximum and minimum, its processing satisfying a time window and a total energy (time
×
resource-usage) requirement. The goal consists of getting a schedule satisfying all the constraints. The problem, which we refer to as the Energy-Constrained Scheduling Problem with Continuous Resources (CECSP), is a generalization of the well-known cumulative scheduling problem for which the “energetic reasoning” or “left-shift/right-shift” necessary feasibility condition yielded a popular polynomially computable satisfiability test. The paper presents a generalization of the energetic reasoning for the CECSP, defining precisely the activity minimum consumptions and exhibiting a polynomial number of relevant time intervals on which it is sufficient to apply the satisfiability tests. A strongly polynomial energetic reasoning satisfiability test can be derived for the considered generalization, which also yields a short proof for the complexity of the original algorithm. Some limits of the approach, as well as an approximation framework for more general resource consumption functions, are also addressed.
Publisher
Springer US,Springer Nature B.V,Springer Verlag
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