Optimistic replication algorithms allow replica contents to become stale but in a controlled way. In return, they become far more efficient and available than traditional replication algorithms that keep all the replicas consistent, especially when the network and computers are unreliable. The use of optimistic replication has grown explosively due to the proliferation of the use of the Interne...

This chapter intends to give an overview of the literature on dynamic lot-sizing models and stochastic transshipment models. These two types of models are used as a basis for developing models with substitution in the following chapters. Section 2.1 contains a classification of models for dynamic lot-sizing / production planning, and selected models. In Sect. 2.2, we give a brief overview of av...

Scalable group key management (also known as group rekeying) schemes proposed in the literature can be classified into three categories: stateful schemes, stateless schemes and self-healing schemes. These schemes differ mainly on the interdependency of rekey messages and rekeying overhead. Logical key hierarchy (LKH) based approaches are stateful in that members should have received past rekeyi...

Many researchers agree that the quality of a metaheuristic optimization approach is largely a result of the interplay between intensification and diversification strategies (see e.g. Ferland et al. (2001); Laguna et al. (1999)). One of the main motivations for this paper is the observation that the design of evolutionary algorithms, including memetic algorithms, makes it particularly difficult ...

The impressive results of the 2007 DARPA Urban Challenge showed that fully autonomous vehicles are technologically feasible with current intelligent vehicle hardware. It is natural to ask how current transportation infrastructure can be improved when most vehicles are driven autonomously in the future. Dresner and Stone proposed a new intersection control mechanism called Autonomous Intersectio...

The paper investigates the optimization of ATM cash by means of genetic algorithm in order to produce optimal upload strategies able to minimize the daily amount of stocked money, still assuring cash dispensing service. We provide experimental evidence of benefits obtained by the proposed approach in terms of lower financial costs and more rational cash management. In particular we considered a...

Congestion in a network or internet creates obvious problems for the end system: reduced availability and throughput and lengthened response times. When a packet is dropped before it reaches its destination, all of the resources it has consumed in transit are wasted. Improving the congestion control and queue management algorithms in the Internet has been one of the most active areas of researc...

Forest types mapping, is one of the most necessary elements in the forest management and silviculture treatments. Traditional methods such as field surveys are almost time-consuming and cost-intensive. Improvements in remote sensing data sources and classification –estimation methods are preparing new opportunities for obtaining more accurate forest biophysical attributes maps. This research co...

This paper utilizes the Colliding Bodies of Optimization (CBO), Enhanced Colliding Bodies of Optimization (ECBO) and Vibrating Particles System (VPS) algorithms to optimize the reservoir system operation. CBO is based on physics equations governing the one-dimensional collisions between bodies, with each agent solution being considered as an object or body with mass and ECBO utilizes memory to ...