Optimisation of agricultural routing planning in field logistics with Evolutionary Hybrid Neighbourhood Search

Utamima, Amalia; Reiners, Torsten; Ansaripoor, Amir H.

doi:10.1016/j.biosystemseng.2019.06.001

Cited by 45 publications

(32 citation statements)

References 33 publications

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“…The analysis over the past five years has shown a trend towards a decrease in the number of the grain harvesters on the farms (figure 2). According to the Federal State Statistics Service and [9][10][11][12], the number of the sown areas, yield and gross harvest of the grain crops show the dynamics that clearly does not correlate with the number of the combine harvesters (figures [3][4][5].…”

Section: Research Status and Work Relevancementioning

confidence: 99%

An integrated intelligent system for managing the efficiency of the production processes

Kataev

Markvo

2021

E3S Web Conf.

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Most agricultural enterprises in the Rostov region of the Russian Federation operate the mechanization equipment that differs significantly in terms of the duration of operation and operating time. Significant differentiation of the agricultural machines in terms of service life, operating time and, as a result, reliability leads to the fact that the efficiency of the functioning of the machines is potentially not the same. With non-optimal planning of the production processes in the crop production, certain losses are possible which are associated with delaying the time of work due to the low reliability of the machines, or, on the contrary, a decrease in the efficiency of using mechanization tools with high reliability rates. The consequences of the unsuccessful management decisions are most acutely manifested in the implementation of the harvesting processes, therefore, the aspects of managing the efficiency of the grain crops harvesting processes are considered in the work. The main means of the mechanization during grain harvesting is the combine harvester. Attention is focused on the use of the modern intelligent technologies for managing the production processes in the crop cultivation under the conditions of uncertainty in the environment.

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Section: Research Status and Work Relevancementioning

confidence: 99%

An integrated intelligent system for managing the efficiency of the production processes

Kataev

Markvo

2021

E3S Web Conf.

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“…The optimality of the setting of the combine harvester is determined by the totality of the values of the parameters of the working devices, environmental conditions and the correlations between them. The optimality of the setting can be estimated by the level of losses, the quality of the threshed grain and threshing per unit time [13][14][15].…”

Section: Research Status and Work Relevancementioning

confidence: 99%

Performance analysis of the process of combine harvesting of grain crops

et al. 2020

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The effectiveness of combine harvesting processes is one of the most important indicators of planting enterprises, as it largely determines the efficiency of the entire organization. One of the problems in assessing the effectiveness of combine harvesters is the determination of the planned performance of machines with rated productivity. The paper considers approaches to determining the planned and actual performance of the processes of combine harvesting of grain crops. The factors affecting the decrease in the performance of combines have been studied. The analysis of data on the wheat harvesting process in local organizations of the South of Russia during 2014-2019 has been carried out. The results of calculating the planned and actual performance of wheat harvesting processes in these farms are presented.

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“…The developed methodology was tested in a case study designing Sungoke moss. Utamina et al (2019) developed a novel evolutionary algorithm called evolutionary hybrid neighborhood search (EHNS) which combine mutation-based neighborhood search and Tabu search algorithms. The first step of the EHNS loop was the mutation-based neighborhood search algorithm which uses the roulette wheel selection to pick individuals within the population.…”

Section: Ga Implementationmentioning

confidence: 99%

Evolutionary layout design synthesis of an autonomous greenhouse using product-related dependencies

Cio

Vadean

et al. 2020

AIEDAM

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The development of autonomous greenhouses has caught the interest of many researchers and industrial considering their potential of offering an optimal environment for the growth of high-quality crops with minimum resources. Since an autonomous greenhouse is a mechatronic system, the consideration of its subsystem (e.g. heating systems) and component (e.g. actuators and sensors) interactions early in the design phase can ease the product development process. Indeed, this consideration could shorten the design process, reduce the number of redesign loops, and improve the performance of the overall mechatronic system. In the case of a greenhouse, it would lead to a higher quality of the crops and a better management of resources. In this work, the layout design of a general autonomous greenhouse is translated into an optimization problem statement while considering product-related dependencies. Then, a genetic algorithm is used to carry out the optimization of the layout design. The methodology is applied to the design of a fully autonomous greenhouse (45 cm × 30 cm × 30 cm) for the growth of plants in space. Although some objectives are conflictual, the developed algorithm proposes a compromise to obtain a near-optimal feasible layout design. The algorithm was also able to optimize the volume of components (occupied space) while considering the energy consumption and the overall mass. Their respective summed values are 2844.32 cm3, which represents 7% of the total volume, 5.86 W, and 655.8 g.

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Optimisation of agricultural routing planning in field logistics with Evolutionary Hybrid Neighbourhood Search

Cited by 45 publications

References 33 publications

An integrated intelligent system for managing the efficiency of the production processes

An integrated intelligent system for managing the efficiency of the production processes

Performance analysis of the process of combine harvesting of grain crops

Evolutionary layout design synthesis of an autonomous greenhouse using product-related dependencies

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