Special Issue on Algorithms for Scheduling Problems

Werner, Frank; Burtseva, Larysa; Sotskov, Yuri N.

doi:10.3390/a11060087

Cited by 4 publications

(4 citation statements)

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“…Of particular interest is the study of multi-criteria models for optimizing the machine and tractor fleet in agricultural production. As an alternative to the algorithm proposed in Section 5, it is possible to develop algorithms based on new approaches and models of schedule theory; see [22,23]. One of the most modern approaches for solving the problem of scheduling operations for a system of machines in field farming are algorithms based on neural networks.…”

Section: Discussion and Future Researchmentioning

confidence: 99%

Optimization of Selection and Use of a Machine and Tractor Fleet in Agricultural Enterprises: A Case Study

Efremov,

Sotskov,

Belotzkaya

2023

Algorithms

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This article presents a realized application of a model and algorithm to optimize the formation and use of a machine and tractor fleet of an agricultural enterprise in crop farming. The concepts and indicators characterizing the processes of agricultural operations of the machine fleet in the agrarian business are considered. A classification of approaches for optimizing the implementation of a complex of mechanized agro-technical operations is given. We systemize different views on the problems under study and possible solutions. The advantages of the proposed model and algorithm, as well as the problematic aspects of their information and instrumental support are discussed. The problem of choosing the optimality criterion when setting the formal problem of optimizing agricultural operations by a fleet of machines in the agricultural field is considered. A modification of the economic and mathematical model for optimizing the structure and production schedules of the machine and tractor fleet is developed. The model is applied in a numerical experiment using real data of a specific agricultural enterprise, and the economic interpretation of the results is discussed. We apply an approach for determining the economic effect of the use of the developed model and algorithm. The possibilities for practical application of the obtained results of the study are substantiated.

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Section: Discussion and Future Researchmentioning

confidence: 99%

Optimization of Selection and Use of a Machine and Tractor Fleet in Agricultural Enterprises: A Case Study

Efremov,

Sotskov,

Belotzkaya

2023

Algorithms

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“…A well-planned and optimized construction schedule contributes significantly to a successful project. Several researchers adopted optimization techniques to solve construction planning and scheduling problems [21][22][23]. In the past, linear programming was one of the techniques most widely used to solve this issue.…”

Section: Construction Planning and Scheduling Optimizationmentioning

confidence: 99%

Construction Planning and Scheduling of a Renovation Project Using BIM-Based Multi-Objective Genetic Algorithm

et al. 2021

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Renovation is known to be a complicated type of construction project and prone to errors compared to new constructions. The need to carry out renovation work while keeping normal business activities running, coupled with strict governmental building renovation regulations, presents an important challenge affecting construction performance. Given the current availability of robust hardware and software, building information modeling (BIM) and optimization tools have become essential tools in improving construction planning, scheduling, and resource management. This study explored opportunities to develop a multi-objective genetic algorithm (MOGA) on existing BIM. The data were retrieved from a renovation project over the 2018–2020 period. Direct and indirect project costs, actual schedule, and resource usage were tracked and retrieved to create a BIM-based MOGA model. After 500 generations, optimal results were provided as a Pareto front with 70 combinations among total cost, time usage, and resource allocation. The BIM-MOGA can be used as an efficient tool for construction planning and scheduling using a combination of existing BIM along with MOGA into professional practices. This approach would help improve decision-making during the construction process based on the Pareto front data provided.

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“…This special issue of Algorithms is dedicated to recent developments of scheduling algorithms and new applications. After the Special Issue on Algorithms for Scheduling Problems, which had 12 papers (see [1]), and the Special Issue on Exact and Heuristic Scheduling Algorithms, which had 9 papers (see [2]), both of which are also available as printed books, this is the third issue in the field of Scheduling in the journal Algorithms since 2018 and underlines the increasing interest of researchers in this subject.…”

Section: Introductionmentioning

confidence: 99%