Add to ORKGThe purpose is to research and evaluate genetic algorithms and scheduling theory methods for control of public electric transport. Methods of scheduling theory define criteria for time constraints for target functions of the optimal electric transport control task and for electrical process diagnostics task. Mathematical models and procedures are developed for control of electrical processes using scheduling theory and multi-criteria decision making and optimization of railway traffic control. Functional dependencies between electrical processes and dynamics of electric transport flow states are investigated in the research. Genetic algorithms are investigated for dynamic multi-criteria optimization of processes in real time mode. Efficie...
Scheduling of urban transit network can be formulated as an optimization problem of minimizing the o...
This thesis deals with the problem of vehicle scheduling in public transport. It contains a theoreti...
AbstractIn this paper, we examine the freight scheduling problem and the design of decision support ...
The purpose of this paper is to develop and study algorithms for group decision making support syste...
This paper describes the investigation of genetic algorithm using to control intelligent public elec...
The purpose is research of methods for multi-agents to control electric railway transport system. Me...
The increase of demand for transport service in rail commuter traffic stipulates higher ratio of con...
AbstractThe paper is concerned with the schedule optimization problem in the railway control systems...
This work is based on research in a field of intelligent agent systems, negotiation algorithm solvin...
This book contributes to making urban rail transport fast, punctual and energy-efficient –significan...
This work addresses the real-time optimization of train scheduling decisions at a complex railway ne...
The real-time traffic control has an important impact on the efficiency of the energy utilization in...
In this paper authors present heuristics algorithm for level-crossing traffic capacity increasing. T...
Abstract. Although in its former formulations the Bus Driver Scheduling Problem (BDSP) has been cons...
This thesis deals with electric train optimal control problem with a focus on time and energy optimi...
Scheduling of urban transit network can be formulated as an optimization problem of minimizing the o...
This thesis deals with the problem of vehicle scheduling in public transport. It contains a theoreti...
AbstractIn this paper, we examine the freight scheduling problem and the design of decision support ...
The purpose of this paper is to develop and study algorithms for group decision making support syste...
This paper describes the investigation of genetic algorithm using to control intelligent public elec...
The purpose is research of methods for multi-agents to control electric railway transport system. Me...
The increase of demand for transport service in rail commuter traffic stipulates higher ratio of con...
AbstractThe paper is concerned with the schedule optimization problem in the railway control systems...
This work is based on research in a field of intelligent agent systems, negotiation algorithm solvin...
This book contributes to making urban rail transport fast, punctual and energy-efficient –significan...
This work addresses the real-time optimization of train scheduling decisions at a complex railway ne...
The real-time traffic control has an important impact on the efficiency of the energy utilization in...
In this paper authors present heuristics algorithm for level-crossing traffic capacity increasing. T...
Abstract. Although in its former formulations the Bus Driver Scheduling Problem (BDSP) has been cons...
This thesis deals with electric train optimal control problem with a focus on time and energy optimi...
Scheduling of urban transit network can be formulated as an optimization problem of minimizing the o...
This thesis deals with the problem of vehicle scheduling in public transport. It contains a theoreti...
AbstractIn this paper, we examine the freight scheduling problem and the design of decision support ...