Golden Ratio Genetic Algorithm Based Approach for Modelling and Analysis of the Capacity Expansion of Urban Road Traffic Network

Zhang, Lun; Zhang, Meng; Yang, Wenchen; Dong, Dezun

doi:10.1155/2015/512715

Cited by 7 publications

(5 citation statements)

References 17 publications

(17 reference statements)

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“…For the mentioned golden ratio (GR), moon age (MA), lunar month (LM), Euler-Mascheroni constant (EM), Embree-Frefethen constant (EF), Landau-Ramanujan constant (LR), prime quadruplet (PQ) and, etc., using MATLAB to conduct simulations, and the results are shown from Table 3 to Table 9 (Zhang et al, 2015;Chen, 2016;Dzhambov and Sgurev, 2016).…”

Section: Simulations and Resultsmentioning

confidence: 99%

Reconstruction and application of flooding routing algorithm for smart street light over wireless sensor networks

Wang

Tang

Huang

et al. 2020

IJIPT

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For smart street light wireless sensor networks, there are huge number of redundant packets flooding in the route discovery process, resulting in information explosion and high energy consumption. This paper proposes an improved flooding routing protocol, during the route discovery process, each node could receive signals such as the serial number of packets copies, destination address, node types and so on, the algorithm will judge whether the received signals need to be continue forwarded in a certain forward probability or not. Thus, the total forward times will be reduced and accordingly the information explosion could be prevented and the energy consumption could be reduced without reducing the reliability. Simulation experiments are conducted on MATLAB, and results show that the improved algorithm has much more higher flooding efficiency than the traditional flooding routing algorithm, and a very broad application prospect to balance the efficiency versus the reliability of the whole networks.

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Section: Simulations and Resultsmentioning

confidence: 99%

Reconstruction and application of flooding routing algorithm for smart street light over wireless sensor networks

Wang

Tang

Huang

et al. 2020

IJIPT

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“…erefore, the current public transportation network design is based on deterministic transportation networks and deterministic travel demand [6]. Zhang et al provide a study on route saturation optimization by combining the knowledge of the golden ratio to improve the genetic algorithm [18]. is research is more classical research on the problem of demand nature.…”

Section: Literature Reviewmentioning

confidence: 99%

“…All routes are arranged in ascending order according to parameter Weight road in formula (18), Weight road i in formula (20) represents the value of the i-th route in the arrangement on parameter Weight road .…”

Section: Evaluating Indicatormentioning

confidence: 99%

An Urban Bus Network Generation Algorithm Based on Particle Swarm Optimization and Force Field Properties

Chen

Huang

et al. 2022

Journal of Advanced Transportation

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Due to continuous urban sprawl, large-scale bus network design has become a major challenge in urban transport planning. The continuous increase in urban population and scale makes the factors considered in the urban route network design increasingly complex. Contemporary public transportation network design problems are based more on efficiency goals such as the accessibility and comfort of the transportation network, which increases the difficulty of analyzing the problem. Bus network design is not only an NP-hard (nondeterministic polynomial) problem but also a multivariable and multiobjective problem. This paper focuses on the bivariate and multiobjective bus network design problem of route generation and station selection. This paper proposes an algorithm called the Pseudo Force Field. By combining the idea of Particle Swarm Optimization (PSO) and the properties of the force field, a feasible route generation scheme is provided for the design of the bus network. The algorithm does not need to determine the end station and has a high degree of completion of the demand. This solves the problem of the selection of terminal stations in large-scale road network design. On this basis, the article combines Genetic Algorithm (GA) and Pareto frontier to provide a new route optimization algorithm and proves the effectiveness of the algorithm. The model has achieved theoretical results in the design of the bus route network in the megacity of Shenzhen, China.

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“…Genetic algorithm(GA) has been proposed in [4,5], [7],particle swarm optimization algorithm proposed in [8], and the non-evolutionary approaches like simulated annealing in [9], tabusearch [10], ant-colony optimization algorithm proposed in [11], and artificial bee colony algorithm in [12]. The combination of the approaches with swarm intelligence methods is widely used to resolve different practical problems of engineering and science [13][14][15][16][17][18]. Self-adaptive differential evolution as been proposed in [24,25].…”

Section: Related Workmentioning

confidence: 99%

Hypercube optimization based global solution in numerical benchmark and sensor localization

R.Sujatha¹,

Siddappa²

2018

IJET

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An original learning algorithm for solving global numerical optimization problems is proposed. The proposed algorithm is strong stochastic search method which is based on evaluation and optimization of a hypercube and is called the hypercube optimization (HO) algorithm. The hypercube optimization algorithm includes the initialization and evaluation process, and searching space process. The designed HO algorithm is tested on specific benchmark functions. The comparative performance analysis have made against with other approaches of dynamic weight particle swarm optimization and self-adaptive differential evolution algorithm. Convergence characteristics of self-adaptive differential evolution algorithm has deliver the much better functional value in compare to dynamic weight based particle swarm optimization.

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Golden Ratio Genetic Algorithm Based Approach for Modelling and Analysis of the Capacity Expansion of Urban Road Traffic Network

Cited by 7 publications

References 17 publications

Reconstruction and application of flooding routing algorithm for smart street light over wireless sensor networks

Reconstruction and application of flooding routing algorithm for smart street light over wireless sensor networks

An Urban Bus Network Generation Algorithm Based on Particle Swarm Optimization and Force Field Properties

Hypercube optimization based global solution in numerical benchmark and sensor localization

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