Metaheuristic Applications in Highway and Rail Infrastructure Planning and Design

Jha, M. K.

doi:10.1016/b978-0-12-398296-4.00016-7

Cited by 4 publications

(9 citation statements)

References 29 publications

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“…Positive feedback is implemented as an imitation of the ant behavior, that is, "leave traces -move by traces." The more traces are left on the path, the more ants will move along it [8,9,13,17].…”

Section: The Results Of Researchmentioning

confidence: 99%

“…Visibility is the value inverse of the evaluation of edges of graph a and b, namely η a,b (ı) = 1/D a,b (ı), where D a,b (ı)t is the value of the graph edge estimation (depending on the level of management, decomposition can be represented in cost or time form) between vertices a and b (the more optimal the value, the more preferable it is to choose this transition) at iteration [8,9,13,[16][17][18][19][20].…”

Section: The Results Of Researchmentioning

confidence: 99%

“…Formula (2) defines only the probability of selection of the next order to include it in the execution schedule, which will correspond to the graph of selection of the next vertex. The value obtained by Formula (2) does not change over the course of the algorithm iteration, but in two different ants, the value of transition probability will differ, because they have different list of visited vertices [16][17][18][19]. After completing the route, each ant deposits on each edge the number of pheromones that are included in its route and meet the schedule, which are calculated by Formula (3).…”

Section: The Results Of Researchmentioning

confidence: 99%

“…During the diversification operation, the amount of pheromone on all edges is re-initialized. The maximum pheromone value is determined using Formula (8) by assigning them a value inverse to the evaporation coefficient and multiplied by an estimate of the global optimum path [16][17][18][19][20].…”

Section: The Results Of Researchmentioning

confidence: 99%

See 3 more Smart Citations

Development of a Modified Ant Colony Algorithm for Order Scheduling in Food Processing Plants

Korobiichuk¹,

Serhii²,

Seidykh³

et al. 2023

JAMRIS

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A modified ant colony algorithm has been developed, which, unlike its classical form, when applied to solve the problem of order fulfillment scheduling, allows us to reduce time by using local optimization approaches. The developed modified ant colony algorithm contains an additional improvement by local optimization methods, which reduces the time to find a solution. The proposed algorithm, when applied, allows for reconfiguration of plans while reducing the search time for the optimum by almost 20% compared to other versions of the algorithms.

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Section: The Results Of Researchmentioning

confidence: 99%

Section: The Results Of Researchmentioning

confidence: 99%

Section: The Results Of Researchmentioning

confidence: 99%

Section: The Results Of Researchmentioning

confidence: 99%

See 2 more Smart Citations

Development of a Modified Ant Colony Algorithm for Order Scheduling in Food Processing Plants

Korobiichuk¹,

Serhii²,

Seidykh³

et al. 2023

JAMRIS

View full text Add to dashboard Cite

show abstract

“…Another important property that ACO simulate from real ant swarms is autocatalysis. Since the pheromone deposited by the ants is decayed over time, if the path between the nest and food source is shorter than more pheromone is deposited, which leads more ants to use the shorter path [36]. This behaviour belongs to the exploitation of positive feedback, in which more ants will produce higher pheromone concentration results with more ants in that shortest or optimal path.…”

Section: Ant Colony Optimizationmentioning

confidence: 99%

A Comparative Study on The Tuning of The PID Flight Controllers Using Swarm Intelligence

Kaba

2020

IJAST

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QUAVs have some shortcomings in terms of nonlinearities, coupled dynamics, unstable open–loop characteristics, and they are prone to internal and external disturbances. Therefore, control problem of the QUAVs is still an open issue. Designed controllers based on the linear dynamics have limited operating ranges. Therefore, nonlinear dynamics of the QUAVs must be derived and used in the control problem. Although some advanced controllers are presented for QUAV control, PID controllers are the most employed, well–known controllers with the simple structure, ease of implementation, solid functionality and robustness amongst the variations up to a degree. In this paper, PID based controllers are proposed for the nonlinear attitude dynamics to overcome the control problem of the QUAVs. However, since optimality and tuning of the PID controllers are fuzzy because of trial and error approaches, swarm intelligence based meta-heuristic algorithms (ABC, ACO and PSO) are employed to optimize the PID coefficients. Results are compared in terms of transient analysis and MC analysis to cover the rise time, settling time, percentage overshoot, steady–state error for the former and stochastic fitness evaluation for the latter, respectively.

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Improvements in the Brazilian agricultural products logistic network using a railway design method and a GIS-based optimization model

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Improvements in the Brazilian agricultural products logistic network using a railway design method and a GIS-based optimization modelBrazil is a country of continental dimensions, so it is very frequent the need to transport products through distances of over 2,000 km. Historically, freight transportation is heavily based on road mode, although it is not the most economical and environmentally efficient mode for long distances. In the past few years, the Brazilian government has focused on a more balanced and rational transportation matrix, with several planned projects aimed at linking high production areas to exporting ports and not many projects directed to the domestic market. As a result, Brazil's transportation matrix for export markets is more balanced, while freight transportation to the domestic market is done almost exclusively by road. This is an adverse scenario for Brazilian industries that depend on raw materials produced in other regions of the country, such as the poultry and pork sectors in the states of Santa Catarina and Rio Grande do Sul. These Southern states must procure maize especially from the Center-West states, traversing by road distances that can easily reach more than 1,000 km, as currently there is no railway linking these states. The higher demand occurs in months with higher freight values and lower truck availability, which could be alleviated by using a storage strategy; however, these states face a deficit of static storage capacity. Hence, this thesis aims to design alternatives for the improvement of the Brazilian logistics network related to domestic market of agricultural products in a more sustainable way, by proposing a two-level optimization model for transportation and warehouse networks, integrated with a Geographic Information System (GIS). The proposed method designs a new railway to link the Center-West and the South regions; selects the location of warehouses that need to increase the static storage capacity and determines the necessary volume for them; assesses the most used transportation infrastructures; and finds the most promising entry points to import maize from Paraguay, Argentina, and other countries. The objective function that was developed took into consideration the minimization of the total cost and the CO2 emissions. In addition, this thesis proposed a railway network design model to project a new railway that includes the criteria to define its start, intermediate, and end points and to determine the area of influence and the potential cargo. The proposed new railway generated positive results, attracting substantial cargo volume and generating a more balanced and rational transportation matrix. The positive effects increased when the new railway was combined with the optimal increase of the static storage capacity of the bulk warehouses. In addition, it was possible to compare the improved Brazilian transportation matrix with the ones from other countries of similar size. The obtained results can subside policy makers and railway designers and rein...

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Metaheuristic Applications in Highway and Rail Infrastructure Planning and Design

Cited by 4 publications

References 29 publications

Development of a Modified Ant Colony Algorithm for Order Scheduling in Food Processing Plants

Development of a Modified Ant Colony Algorithm for Order Scheduling in Food Processing Plants

A Comparative Study on The Tuning of The PID Flight Controllers Using Swarm Intelligence

Improvements in the Brazilian agricultural products logistic network using a railway design method and a GIS-based optimization model

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