E-mobility Fleet Management Using Ant Algorithms

Solving Fleet Scheduling Problem using Metaheuristic Algorithms

Fleet Management

Fleet management addresses the problem of managing fleets of trailers, containers, boxcars, taxicabs, locomotives and business jets. In many applications, requests to be moved from one location to another arrive randomly over time. Since it may take days to move from one location to the next, it is often useful (even necessary) to reposition equipment before a customer demand is known. We use t...

Fleet Management

FOR MOST LAW ENFORCEMENT AND EMERGENCY SERVICES AGENCIES, THE costs related to the purchasing, equipping, operating and maintaining of fleets is the largest single recurring cost, outside that of personnel. The cost of acquiring vehicles, the costs associated with equipping and maintaining these vehicles, and escalating fuel costs have created difficulties for many departments— including police...

Modeling Ant Colony Algorithms Using Learning Automata

Ant colony algorithms are a group of heuristic optimization algorithms that have been inspired by ants foraging for food. In these algorithms there are some agents, the ants, that for finding the suitable solution, search the solution space. On the other hand, Learning Automata is an abstract model that can do finite actions. Each selected action is evaluated by a random environment and the env...

Ant Colony Optimization Using Genetic Algorithms

A Genetic algorithms is a search technique used to find true or approximate solutions to optimization and search problems. Hybrid algorithms is proposed to solve combinatorial optimization problem by using "Ant colony and Genetic programming algorithms". The genetic programming paradigm permits the evolution of computer programs which can perform intermediate calculations, which can perform com...