This work proposes a differential evolution algorithm to control vehicle-to-grid (V2G) system based on photovoltaic generation and energy cost curves, constraints associated with the power converters’ operation, battery charging strategy, initial budgets. The is designed trade off batteries’ state of charge profits gained from selling grid. To achieve this balance, fuzzy controller employed act...

Most time-dependent vehicle routing problems are based on a similar modeling paradigm: travel time information is represented by functions between pairs of points interest (e.g., depot or customers). Only few papers investigate how these can be computed using the available information. Furthermore, most them neglect possibility that different paths could selected in road network depending compr...

The topic of this paper is a Genetic Algorithm solution to the Vehicle Routing Problem with Time Windows, a variant of one of the most common problems in contemporary operations research. The paper will introduce the problem starting with more general Traveling Salesman and Vehicle Routing problems and present some of the prevailing strategies for solving them, focusing on Genetic Algorithms. A...

In this paper we describe a method for optimistic parallel discrete event simulation for multi-agent systems. We present an adaptive metric that calculates the appropriate degree of optimism for an agent process based on the reads and writes made to the shared state by that agent. We conclude by showing how results from our investigations into the application of moving time windows in agent sim...

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In order to study how n to 1 convergence sharpens timing information, we have used a simple time-window (TW) model in which the target neuron fires the first time it has received m action potentials in the previous εmilleseconds. Although the TW is convenient for proving theorems and Monte-Carlo simulations, it is a natural question whether it represents well the physiological reality. We first...