The increasing data demand in recent years has resulted a considerable rise heterogeneous cellular network energy usage. Advances networks with renewable supplied from base stations offer the communications sector interesting options. Rising consumption, fuelled by huge growth user count as well usage of data, emerged most pressing challenge for operators fulfilling cost-cutting and environment...

Recent studies in parallel computing have mainly focused on physically producing multiple computing sites for computational speed-up and not considered theories and methodologies, which are the essence of parallel computing, and correctness as well. It means that the studies have mostly considered cost-effectiveness, that is, how many computing sites are produced determines how much computing s...

Many combinatorial problems deal with preferences and violations, the goal of which is to find solutions with the minimum cost. Weighted constraint satisfaction is a framework for modeling such problems, which consists of a set of cost functions to measure the degree of violation or preferences of different combinations of variable assignments. Typical solution methods for weighted constraint s...

The Employee Timetabling Problem (ETP) is a general class of problems widely encountered in service organizations (such as call centers for instance). Given a set of activities, a set of demand curves (specifying the demand in terms of employees for each activity for each time period) the problem consists of constructing a set of work shifts such that each activity is at all time covered by a s...

This paper designs a model predictive control (MPC) law for constrained linear systems with stochastic additive disturbances and noisy measurements, minimising discounted cost subject to expectation constraint. It is assumed that sensor data lost known probability. Taking into account the losses modelled by Bernoulli process, we parameterise predicted policy as an affine function of future obse...