We introduce a new multiobjective evolutionary algorithm called PESA (the Pareto Envelope-based Selection Algorithm), in which selection and diversity maintenance are controlled via a simple hyper-grid based scheme. PESA's selection method is relatively unusual in comparison with current well known multiobjective evolutionary algorithms, which tend to use counts based on the degree to which sol...

The stochastic shortest path problem is of crucial importance for the development of sustainable transportation systems. Existing methods based on the probability tail model seek for the path that maximizes the probability of arriving at the destination before a deadline. However, they suffer from low accuracy and/or high computational cost. We design a novel Q-learning method where the converg...

A new replacement analysis methodology is developed to determine system-level component replacement schedules for radial electricity distribution configurations composed of sets of heterogeneous assets. The proposed model is an iterative combined dynamic programming and integer programming approach to obtain cost-efficient system-level component replacement schedules with the objective of minim...

User-centric services are a growing concern. While the digital society definitely needs better quality-of-experience (QoE) for the user, his applications on smart mobile devices will continue to raise traffic in mobile radio networks by 100% per annum. Future generations of access technologies are challenged by this and the old over provisioning approach will not hold anymore, especially during...

The purpose of this paper is to construct a dynamic stochastic production frontier incorporating the sluggish adjustment of inputs, to measure the speed of adjustment of output, and to compare the technical efficiency estimates from this dynamic model to those from a static model. Assuming that the adjustment speed of all inputs is similar for every production unit, a linear partial adjustment ...

We investigate and extend the cross entropy (CE) approach for parameter estimation for ODE and DDE models introduced in [27]. Software is developed to allow models to be easily specified for use with an existing package for working with DDEs. Our software implements CE and is used to explore potential improvements to the method. A 3-stage optimization procedure is presented. First, an inexpensi...

A newmultiobjective particle swarm optimization (MOPSO) technique for environmental/economic dispatch (EED) problem is proposed in this paper. The proposed MOPSO technique evolves a multiobjective version of PSO by proposing redefinition of global best and local best individuals in multiobjective optimization domain. The proposedMOPSO technique has been implemented to solve the EED problemwith ...

The usefulness of a video database relies on whether the video of interest can be easily located. To allow exploring, browsing, and retrieving videos according to their visual content, efficient techniques for evaluating the visual similarity between different video clips are necessary. We present a framework for measuring video similarity across different resolutions – both spatial and tempora...

Water reservoir operations have huge potential for contributing positively to the development of different sectors, as well as for reducing the vulnerabilities of water systems caused by changing hydro-climatic and socio-economic forcing. Despite the problem of optimally designing operating policies for water storages has been extensively studied, many state-of-the-art methods are generally dis...

This paper presents a revenue maximisation model for sales channel allocation based on dynamic programming. It helps the media seller to determine how to distribute the sales volume of page views between guaranteed and nonguaranteed channels for display advertising. The model can algorithmically allocate and price the future page views via standardised guaranteed contracts in addition to real-t...