This paper reports on one of a number of parallel investigations being undertaken into alternative approaches to solving part or the whole of the bus driver scheduling problem. An artificial ant system is set up, with ants following trails through a network, each trail representing a complete bus driver schedule. Initial schedules are set up by drawing from shifts generated by other systems available in the University of Leeds. Each trail receives an allocation of pheromone related to the quality of the relevant schedule. As new ants are introduced to the system they are encouraged to follow the more intensive pheromone trails, and the poorer trails gradually lose their intensity. Thus successive ants are likely to follow better trails, and...
Transit Schedule Design (TSD) in this work is defined as selecting the location of timing points and...
Abstract. Ant Colony Optimization (ACO) is a metaheuristic which takes the inspiration from the fora...
In this paper, we propose an ACO-based algorithm that can be used to simulate mass-transit networks;...
This paper reports on one of a number of parallel investigations being undertaken into alternative a...
Bus system design is a difficult problem, and hence is usually decomposed into a series of sub-prob...
International audienceIn our study, we develop a method that merges two information sources within a...
Increased productivity and lower cost in manufacturing processes can be achieved through growing red...
Increased productivity and lower cost in manufacturing processes can be achieved through growing red...
Increasing amounts of time is wasted due to traffic congestion in both developed and developing coun...
This work defines Transit Schedule Design (TSD) as an optimization problem to construct the transit ...
Ant-based algorithms simulate the cooperative behaviour of real ants in finding food resources. A si...
In analyses of real dimension networks, it is important that simulation models allow solutions to be...
Transit Schedule Design (TSD) in this work is defined as selecting the location of timing points and...
Abstract. Ant Colony Optimization (ACO) is a metaheuristic which takes the inspiration from the fora...
In this paper, we propose an ACO-based algorithm that can be used to simulate mass-transit networks;...
This paper reports on one of a number of parallel investigations being undertaken into alternative a...
Bus system design is a difficult problem, and hence is usually decomposed into a series of sub-prob...
International audienceIn our study, we develop a method that merges two information sources within a...
Increased productivity and lower cost in manufacturing processes can be achieved through growing red...
Increased productivity and lower cost in manufacturing processes can be achieved through growing red...
Increasing amounts of time is wasted due to traffic congestion in both developed and developing coun...
This work defines Transit Schedule Design (TSD) as an optimization problem to construct the transit ...
Ant-based algorithms simulate the cooperative behaviour of real ants in finding food resources. A si...
In analyses of real dimension networks, it is important that simulation models allow solutions to be...
Transit Schedule Design (TSD) in this work is defined as selecting the location of timing points and...
Abstract. Ant Colony Optimization (ACO) is a metaheuristic which takes the inspiration from the fora...
In this paper, we propose an ACO-based algorithm that can be used to simulate mass-transit networks;...