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A Constraint-Based Approach to Modeling and Solving resource-constrained scheduling problems 8th

A Constraint-Based Approach to Modeling and Solving Resource...

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8th International Conference on Computational Collective Intelligence (ICCCI)

作者： Sitek, Pawel Wikarek, Jaroslaw Kielce Univ Technol Dept Informat Syst Kielce Poland

ISBN: (纸本)9783319452425;9783319452432

constrained scheduling problems are common in manufacturing, project management, transportation, supply chain management, software engineering, computer networks etc. Multiple binary and integer decision variables representing the allocation of resources to activities and numerous specific constraints on these variables are typical components of the constraint scheduling problem modeling. With their increased computational complexity, the models are more demanding, particularly when methods of operations research (mathematical programming, network programming, dynamic programming) are used. By contrast, most resource-constrained scheduling problems can be easily modeled as instances of the constraint satisfaction problems (CSPs) and solved using constraint programming (CP) or others methods. In the CP-based environment the problem definition is separated from the methods and algorithms used to solve the problem. Therefore, a constraint-based approach to resource-constrained scheduling problems that combines an OR-based approach for problem solving and a CP-based approach for problem modeling is proposed. To evaluate the applicability and efficiency of this approach and its implementation framework, illustrative examples of resource-constrained scheduling problems are implemented separately for different environments.

关键词： Constraint programming Mathematical programming resource-constrained scheduling problem Knowledge-based approach

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A Hybrid Approach to Decision Support for resource-constrained scheduling problems 8th

A Hybrid Approach to Decision Support for Resource-Constrain...

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8th KES International Conference on Intelligent Decision Technologies (KES-IDT)

作者： Sitek, Pawel Nielsen, Izabela Wikarek, Jaroslaw Nielsen, Peter Kielce Univ Technol Dept Informat Syst Kielce Poland Aalborg Univ Dept Mech & Mfg Engn Aalborg Denmark

ISBN: (纸本)9783319396309;9783319396293

resource-constrained scheduling problems are commonly found in various areas, such as project management, manufacturing, transportation, software engineering, computer networks, and supply chain management. Its problem models involve a large number of constraints and discrete decision variables, including binary and integer. In effect, the representation of resource allocation, for instance, is often expressed using binary or integer decision variables to form several constraints according to the respective scheduling problem. It significantly increases the number of decision variables and constraints as the problem scales;such kind of traditional approaches based on operations research is insufficient. Therefore, a hybrid approach to decision support for resource-constrained scheduling problems which combines operation research (OR) and constraint logic programming (CLP) is proposed. Unlike OR-based approaches, declarative CLP provides a natural representation of different types of constraints. This approach provides: (a) decision support through the answers to the general and specific questions, (b) specification of the problem based on a set of facts and constraints, (c) reduction to the combinatorial solution space. To evaluate efficiency and applicability of the proposed hybrid approach and implementation platform, implementation examples of job-shop scheduling problem are presented separately for the three environments, i.e., Mathematical Programming (MP), CLP, and hybrid implementation platform.

关键词： Decision support Constraint logic programming resource-constrained scheduling problem Mathematical programming Hybridization

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