2 research outputs found
Genetic algorithm for optimal distribution in cities
The problem to deal with in this project is the problem of routing electric
vehicles, which consists of finding the best routes for this type of vehicle,
so that they reach their destination, without running out of power and
optimizing to the maximum transportation costs. The importance of this problem
is mainly in the sector of shipments in the recent future, when obsolete energy
sources are replaced with renewable sources, where each vehicle contains a
number of packages that must be delivered at specific points in the city , but,
being electric, they do not have an optimal battery life, so having the ideal
routes traced is a vital aspect for the proper functioning of these. Now days
you can see applications of this problem in the cleaning sector, specifically
with the trucks responsible for collecting garbage, which aims to travel the
entire city in the most efficient way, without letting excessive garbage
accumulate
A General Overview of Formal Languages for Individual-Based Modelling of Ecosystems
Various formal languages have been proposed in the literature for the
individual-based modelling of ecological systems. These languages differ in
their treatment of time and space. Each modelling language offers a distinct
view and techniques for analyzing systems. Most of the languages are based on
process calculi or P systems. In this article, we present a general overview of
the existing modelling languages based on process calculi. We also discuss,
briefly, other approaches such as P systems, cellular automata and Petri nets.
Finally, we show advantages and disadvantages of these modelling languages and
we propose some future research directions.Comment: arXiv admin note: text overlap with arXiv:1610.08171 by other author