With the general awareness of energy and environmental issues in whole society, issue greenhouse gas emission reduction has gradually become focus attention. Ocean transport undertakes more than 90% world's cargo transportation also produces a large amount carbon dioxide. In order to achieve shipping industry, June 2012, ECOFIN proposed impose Maritime Carbon Tax, which will increase operating ...

In view of shortcomings of the particle swarm optimization algorithm such as poor late optimization ability and proneness to local optimization etc, this paper proposes an opposition-based learning particle swarm optimization (OBLPSO) algorithm for the optimization of logistics distribution routes, firstly, establishes a logistics distribution route optimization mathematical model, and then sol...

The work aims to study methods for optimizing the route networks of urban passenger transport with fuzzy initial information since process transportation in cities has many factors uncertainty and stochasticity is quite complex, including a whole range data. Heuristic optimization are proposed. study's main result improvement transport. These today make it possible take into account opposing in...

Over the past decades, wireless networks and devices have experienced intensive growth. Route discovery selection from device to (D2D) that are randomly distributed came across services trade-offs. This paper presents an optimal routing technique for MANET environment-based D2D network. The optimization method considers Lagrange Multiplier approach maximize bit rate along with constraints minim...

Since the logistics is an industry with relatively higher energy consumption, the building industry lowcarbon logistics ought to attract wide attentions from the building enterprises. Simulated annealing is an effective intelligent algorithm for optimizing the building materials logistics route. This paper analyzes the similarities between the process of the building materials logistics route o...