Research on Public Traffic Vehicles Dispatch Based on Improved Adaptive Genetic Algorithm
نویسندگان
چکیده
Bus dispatching has been studied, and also the bus dispatching model is set up. Then, Genetic Algorithm is adaptively improved in order to avoid premature problem and the slow convergence, and then the keeping optimal strategy is used to the Genetic Algorithm, so formed the Improved Adaptive Genetic Algorithm,namely IAGA. Finally, the IAGA is used to optimizing the bus dispatching model, and the results of the simulation indicate IAGA has the higher efficiency than simple GA and is one effective way to optimizing the bus dispatching. Keywords—urban public transport; bus dispatching; genetic algorithms; adaptive genetic algorithm Manuscript Number: 1674-8042(2010)supp.-0186-04 dio: 10.3969/j.issn1674-8042.2010.supp..49
منابع مشابه
A New Hybrid Routing Algorithm based on Genetic Algorithm and Simulated Annealing for Vehicular Ad hoc Networks
In recent years, Vehicular Ad-hoc Networks (VANET) as an emerging technology have tried to reduce road damage and car accidents through intelligent traffic controlling. In these networks, the rapid movement of vehicles, topology dynamics, and the limitations of network resources engender critical challenges in the routing process. Therefore, providing a stable and reliable routing algorithm is ...
متن کاملA SOLUTION TO AN ECONOMIC DISPATCH PROBLEM BY A FUZZY ADAPTIVE GENETIC ALGORITHM
In practice, obtaining the global optimum for the economic dispatch {bf (ED)}problem with ramp rate limits and prohibited operating zones is presents difficulties. This paper presents a new andefficient method for solving the economic dispatch problem with non-smooth cost functions using aFuzzy Adaptive Genetic Algorithm (FAGA). The proposed algorithm deals with the issue ofcontrolling the ex...
متن کاملEconomic Load Dispatch using PSO Algorithm Based on Adaptive Learning Strategy Considering Valve point Effect
Abstract: In recent years due to problems such as population growth and as a result increase in demand for electrical energy, power systems have been faced with new challenges that not existed in the past. One of the most important issues in modern power systems is economic load dispatch, which is a complex optimization problem with a large number of variables and constraints. Due to the comple...
متن کاملPrediction of Driver’s Accelerating Behavior in the Stop and Go Maneuvers Using Genetic Algorithm-Artificial Neural Network Hybrid Intelligence
Research on vehicle longitudinal control with a stop and go system is presently one of the most important topics in the field of intelligent transportation systems. The purpose of stop and go systems is to assist drivers for repeatedly accelerate and stop their vehicles in traffic jams. This system can improve the driving comfort, safety and reduce the danger of collisions and fuel consumption....
متن کاملSolving the ridesharing problem with Non-homogeneous vehicles by using an improved genetic algorithm and the social preferences of the users
Most existing ridesharing systems perform travel planning based only on two criteria of spatial and temporal similarity of travelers. In general, neglecting the social preferences caused to reduce users' willingness to use ridesharing services. To achieve this purpose a system should be designed and implemented not just based on two necessary conditions of spatial and temporal similarities, but...
متن کامل