Numerous studies have considered penalty as part of lease contract stipulation, which incurs whenever equipment downtime exceed a predetermined level. Under this stipulation, lessor would then choose maintenance effort level just enough to hinder them from penalty. Since it is used for business purpose, lower equipment downtime would always preferable for the lessee but necessarily for the less...

In a recent work, we have proposed the quantized kernel least mean square (QKLMS) algorithm, which is quite effective in online learning sequentially a nonlinear mapping with a slowly growing radial basis function (RBF) structure. In this paper, in order to further reduce the network size, we propose a sparse QKLMS algorithm, which is derived by adding a sparsity inducing 1 l norm penalty of th...

This paper presents tabu search (TS) method with intensification strategy for hardware-software partitioning. The algorithm operates on functional blocks for designs represented as directed acyclic graphs (DAG), with the objective of minimising processing time under various hardware area constraints. Results are compared to two other heuristic search algorithms: genetic algorithm (GA) and simul...

Membrane systems are under development for cost-effective carbon dioxide (CO2) capture. This study is to investigate the effects of adding CO2-selective polymeric membrane systems to coal-fired power plants using newly developed performance and cost models. Sensitivity analysis is further carried out to explore the influences of key parameters and factors on the power plant and the membrane-bas...

The design of a supply chain not only in‡uences a retailer’s cost, it in‡uences its customers’costs with stores few and far between, consumers must travel a long distance to shop, whereas their shopping trips are short with a dense network of stores. This supply chain design problem is the combination of two well studied problems: the Traveling Salesmen problem and the k-median problem. A solut...

This paper presents a robust supply chain network design considering capacity, supply and delivery distance limits under uncertain demand. It aims to form a systematic solution including facility location and capacity design, supply plan, production plan and delivery plan. The uncertainty of demand is described by means of scenario approach. Following a multiple criteria evaluation, the optimal...

We present in this paper a novel approach for training deterministic auto-encoders. We show that by adding a well chosen penalty term to the classical reconstruction cost function, we can achieve results that equal or surpass those attained by other regularized auto-encoders as well as denoising auto-encoders on a range of datasets. This penalty term corresponds to the Frobenius norm of the Jac...

Consider a set N of n(> 1) stores with single-item and single-period nondeterministic demands like in a classic newsvendor setting with holding and penalty costs only. Assume a risk-pooling single-warehouse centralized inventory ordering option. Allocation of costs in the centralized inventory ordering corresponds to modelling it as a cooperative cost game whose players are the stores. It has b...

We consider a one dimensional stochastic control problem that arises from queueing network applications. The state process corresponding to the queue-length is given by a stochastic differential equation which reflects at the origin. The controller can choose the drift coefficient which represents the service rate and the buffer size b > 0. When the queue-length reaches b, the new customers are...