An augmented self-adaptive parameter control in evolutionary computation: A case study for the berth scheduling problem

Kavoosi, Masoud; Dulebenets, Maxim A.; Abioye, Olumide F.; Pasha, Junayed; Wang, Hui; Chi, Hongmei

doi:10.1016/j.aei.2019.100972

Cited by 77 publications

(36 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The damage index of fractured rock mass is used to study the fracture propagation and distribution. Formula 13 represents the cubic law of fissured rock mass [41] and formula 14 represents the damage variable of fissured rock mass.…”

Section: Distribution Law Of Rock Mass Fracture In Dam Area Under mentioning

confidence: 99%

Inversion Method of In-situ Stress and Rock Damage Characteristics in Dam Site Using Neural Network and Numerical Simulation—A Case Study

Gan

et al. 2020

IEEE Access

View full text Add to dashboard Cite

In mountain and ravine region of southwest China, several hydropower stations have been built in this area. It is the main national base for hydropower energy development, but under the influence of geological structure and surface erosion, the in-situ stress environment in this area is more complex. The main purpose of this paper is to establish the relationship between measured in-situ stress data and numerical calculation by means of neural network. Therefore, it can be used to analyze the distribution characteristics of large-scale in-situ stress and the failure of regional geological bodies under the action of in-situ stress in Xiluodu area. This paper analyzes the geological conditions and the measured data of in-situ stress in Xiluodu area. The results show that there is obvious surface weathering phenomenon in this area, the stress environment is complex. The depth has a positive impact on the level of in-situ stress, but the impact degree is different. The genetic algorithm-BP artificial neural networks (G-P) method is trained by the measured in-situ stress data. Based on the field measurement data, neural network algorithm and numerical simulation technology, the three-dimensional in-situ stress field distribution characteristics of the project area are carried out. The research shows that the scheme of combining the actual measurement, numerical analysis and neural network inversion is reliable; Depth is an important factor affecting the maximum horizontal stress value in Xiluodu area; Under the action of in-situ stress, the fissures of geological body are relatively developed, and three types of original water storage and flow spaces are formed before dam storage period; The flow and storage space of groundwater includes limestone fracture, basalt fracture and slope fracture aquifer; After the impoundment of the reservoir area, the reservoir water is transmitted downward through the vertical fissures, and finally the reservoir water forms a hydraulic connection with the groundwater. After impoundment, the hydrogeological conditions of the reservoir area would be changed. INDEX TERMS In-situ stress, numerical simulation, neural network, in-situ stress inversion, geological rock mass damage, hydraulic connection.

show abstract

Section: Distribution Law Of Rock Mass Fracture In Dam Area Under mentioning

confidence: 99%

Inversion Method of In-situ Stress and Rock Damage Characteristics in Dam Site Using Neural Network and Numerical Simulation—A Case Study

Gan

et al. 2020

IEEE Access

View full text Add to dashboard Cite

show abstract

“…The future research extensions include: (1) conducting additional sensitivity analyses for the model parameters (e.g., sensitivity of the models for different groups of highway-rail grade crossings-private, public, or both private and public); (2) applying the proposed methodology to the highway-rail grade crossings located in other states; (3) developing metaheuristic algorithms to solve the optimization models (e.g., evolutionary algorithms, ant colony optimization, particle swarm optimization, artificial bee colony, tabu search, simulated annealing, variable neighborhood search, and others [44][45][46][47][48]); (4) considering the application of multiple countermeasures at a given highway-rail grade crossing through resource allocation; and (5) performing resource allocation for both private and public highway-rail grade crossings in the State of Florida.…”

Section: Conclusion and Future Research Directionsmentioning

confidence: 99%

Development of Algorithms for Effective Resource Allocation among Highway–Rail Grade Crossings: A Case Study for the State of Florida

et al. 2020

Self Cite

View full text Add to dashboard Cite

Smart cities directly rely on a variety of elements, including water, gas, electricity, buildings, services, transportation networks, and others. Lack of properly designed transportation networks may cause different economic and safety concerns. Highway-rail grade crossings are known to be a hazardous point in the transportation network, considering a remarkable number of accidents recorded annually between highway users and trains, and even solely between highway users at highway-rail grade crossings. Hence, safety improvement at highway-rail grade crossings is a challenging issue for smart city authorities, given limitations in monetary resources. In this study, two optimization models are developed for resource allocation among highway-rail grade crossings to minimize the overall hazard and the overall hazard severity, taking into account the available budget limitations. The optimization models are solved by CPLEX to the global optimality. Moreover, some heuristic algorithms are proposed as well. A case study focusing on the public highway-rail grade crossings in the State of Florida is performed to evaluate the effectiveness of the developed optimization models and the solution methodologies. In terms of the computational time, all the solution approaches are found to be effective decision support tools from the practical standpoint. Moreover, the results demonstrate that some of the developed heuristic algorithms can provide near-optimal solutions. Therefore, the smart city authorities can utilize the proposed heuristics as decision support tools for effective resource allocation among highway-rail grade crossings.

show abstract

“…It is obvious that formulas (14) and (15) are satisfied if u is always equal to equation (22). However, there are limits for u in the handling chain system of container ports: u min ≤ u ≤ u max (u min and u max are the minimum and maximum values of u, which will be given in Section 3.4; then,…”

Section: Exponential Reachingmentioning

confidence: 99%

“…e control approaches improve the performance of the container port handling chain by optimizing control decisions on the system behaviors. For example, optimal control approach [18], model predictive scheduling [19], eventdriven receding horizon control [3], robust control [7], and parameter control strategies (such as deterministic, adaptive, self-adaptive, and augmented self-adaptive) [20][21][22]). Despite the diversity of control approaches used to enhance port productivity and efficiency, nonlinearities of the container port HCS has been largely ignored, which does not match the actual situation of container ports and limits the practical applications.…”

Section: Introductionmentioning

confidence: 99%

A Novel Sliding Mode Control with Low-Pass Filter for Nonlinear Handling Chain System in Container Ports

Yang

et al. 2020

Complexity

View full text Add to dashboard Cite

Nonlinearities in a container port handling chain include mainly nonnegative arrive rate of container cargoes, limited container handling completion rate, and nonnegative unsatisfied freight requirement constraints. The nonlinearity influences the operation resources availability and consequently the planned container port handling strategies. Developments presented in this work are devoted to a novel design of sliding mode control with low-pass filter (SMC-LPF) to nonlinear handling chain system (HCS) in container ports. The SMC-LPF can effectively reduce unsatisfied freight requirement of the HCS and make chattering decrease significantly. To illustrate the effectiveness and accuracy of the proposed SMC-LPF, an application to a real container port in China is outlined. The performances of the SMC-LPF for the nonlinear HCS in container ports outperform those of the traditional method, particle swarm optimization algorithm, and slide mode control under simulations with a unit step signal and a sinusoidal signal with offset as the freight requirements. The contributions herein demonstrate the proposed control strategy in weakening chattering, reducing the unsatisfied freight requirements to 0 as close as possible in the HCS, maximizing the operation resilience and robustness of port and shipping supply chain against parametric perturbation, external disturbances, and fluctuant handling abilities.

show abstract

An augmented self-adaptive parameter control in evolutionary computation: A case study for the berth scheduling problem

Cited by 77 publications

References 56 publications

Inversion Method of In-situ Stress and Rock Damage Characteristics in Dam Site Using Neural Network and Numerical Simulation—A Case Study

Inversion Method of In-situ Stress and Rock Damage Characteristics in Dam Site Using Neural Network and Numerical Simulation—A Case Study

Development of Algorithms for Effective Resource Allocation among Highway–Rail Grade Crossings: A Case Study for the State of Florida

A Novel Sliding Mode Control with Low-Pass Filter for Nonlinear Handling Chain System in Container Ports

Contact Info

Product

Resources

About