Playing in continuous spaces: Some analysis and extension of population-based incremental learning

As an alternative to traditional evolutionary algorithms (EAs), population-based incremental learning (PBIL) maintains a probabilistic model of the best individual(s). Originally, PBIL was applied in binary search spaces. Recently, some work has been done to extend it to continuous spaces. In this paper, we review two such extensions of PBIL. An improved version of the PBIL based on Gaussian model is proposed that combines two main features: a new updating rule that takes into account all the individuals and their fitness values and a self-adaptive learning rate parameter. Furthermore, a new continuous PBIL employing a histogram probabilistic model is proposed. Some experiments results are presented that highlight the features of the new algorithms.

Playing catch-up with China:challenges and strategies for smaller developing countries

This paper considers how smaller developing countries can compete with China by examining the cases of two such countries; Mauritius and Morocco. In order to supplement their more traditional extractive and agro-based industries they have developed important textile and apparel sectors, supplying principally the EU. However, the textile industries in both countries have recently come under intense competitive pressure from China with its much lower production costs and huge capacity. This paper compares and contrasts the conditions under which Mauritius and Morocco have developed their textile industries as well as exploring the challenges they now face from China and the ways in which they have reacted to them. It also examines the wider industrial policy of both countries and the extent to which they have acquired the capability to meet the threats that now face them. Some specific strategies and actions are also described and evaluated with a view to providing advice and guidance for other smaller developing countries that face similar challenges in these and other industries.

How important is ownership in a market with a level playing field? The Indian banking sector revisited

Private ownership of firms is often argued to lead to better firm performance than public ownership. However, the theoretical literature and the empirical evidence indicate that agency problems may affect the performance of privately owned firms. At the same time, competition and hard budget constraints can induce state-owned firms to operate efficiently. In India, banking sector reforms and deregulation were initiated in 1992, encouraging entry and establishing a level playing field for all banks. Data for the financial years 1995–1996 through 2000–2001 suggest that, by 1999–2000, ownership was no longer a significant determinant of performance. Rather, competition induced public-sector banks to eliminate the performance gap that existed between them and both domestic and foreign private-sector banks.