Related Experiment Video
Updated: Jun 9, 2025
11:53
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
12.9K
A multi-objective fuzzy programming model for port tugboat scheduling based on the Stackelberg game
Yangjun Ren1, Qiong Chen2, Yui-Yip Lau3
1School of Economics and Trade, Changzhou Vocational Institute of Textile and Garment, Changzhou, 213164, China.
Scientific Reports
|October 24, 2024
Summary
This study optimizes tugboat scheduling in uncertain port environments using a Stackelberg game fuzzy model and a novel seagull optimization algorithm. The approach balances fuel efficiency, task buffering, and completion time for dynamic operations.
Area of Science:
- Operations Research
- Maritime Logistics
- Optimization Theory
Background:
- Port operations face challenges with dynamic task arrivals and uncertain tugboat operation times.
- Effective tugboat scheduling is crucial for minimizing costs and maximizing efficiency in maritime logistics.
Purpose of the Study:
- To develop an optimization model for tugboat scheduling considering dynamic tasks and fuzzy operation times.
- To investigate the decision-making impact of tugboat operators and port dispatchers in scheduling.
- To minimize fuel consumption and completion time while maximizing buffer time.
Main Methods:
- A Stackelberg game-based fuzzy model was proposed with tugboat operators and port dispatchers as decision-makers.
- A seagull optimization algorithm (SOA) incorporating priority encoding and genetic operators was developed.
- The proposed SOA was benchmarked against CPLEX, genetic algorithm, and simulated annealing using 45 problem cases.
Main Results:
- The proposed SOA demonstrated superior efficiency in solving port tugboat scheduling problems.
- The fuzzy programming model's practicality was validated through experiments on fairness and uncertainty parameters.
- Analysis included adjusting confidence levels for uncertain parameters from 0% to 100%.
Conclusions:
- The developed seagull optimization algorithm is effective for complex port tugboat scheduling.
- The fuzzy model provides a practical framework for managing uncertainties in maritime operations.
- Optimized scheduling enhances operational efficiency, cost-effectiveness, and fairness in port logistics.
Related Concept Videos
01:29Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
42
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
42
01:16Statically Indeterminate Problem Solving
365
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
365
01:09Decision Making: P-value Method
5.3K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.3K
01:30Machines: Problem Solving II
297
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
297
01:25Multimachine Stability
142
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
142
01:22Multi-input and Multi-variable systems
100
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
In the absence...
100