Oscar Wilde’s “The Happy Prince” : The Hidden Messages and the Debate on the Target Audience

Oscar Wilde’s fairytales have been read to children for more than a century. Nevertheless, since the time of their publication in 1888 and 1891, the target audience of The Happy Prince and Other Tales and A House of Pomegranates have been the concern of critics. Delving into the context behind the rich and colourful imagery, one can find implications of homosexuality, the Paterian aesthetic and religious connotations. According to Carol Tattersall, The Happy Prince and Other Tales successfully mislead the public that it is innocent of any intention to undermine established standards of living or writing. Tattersall’s argument is based on comparing the first collection to Wilde’s second, A House of Pomegranates, which was perceived as “offensive and immoral” (136). On the other hand, William Butler Yeats states in his introduction to The Complete Works of Oscar Wilde that overall the reviewers of The Happy Prince and Other Tales were hostile because of Wilde’s aesthetic views (ixxvi). But Yeats overlooks the fact that Wilde was very pleased and proud, dashing notes to friends and reviewers and signing copies to many people (Tattersall 129). In general, the reception of Wilde’s first collection was more positive than that of the second because it was milder and more subtle in its controversial themes.

Dynamic Fuzzy Logic Control of GeneticAlgorithm Probabilities

Genetic algorithms are commonly used to solve combinatorial optimizationproblems. The implementation evolves using genetic operators (crossover, mutation,selection, etc.). Anyway, genetic algorithms like some other methods have parameters(population size, probabilities of crossover and mutation) which need to be tune orchosen.In this paper, our project is based on an existing hybrid genetic algorithmworking on the multiprocessor scheduling problem. We propose a hybrid Fuzzy-Genetic Algorithm (FLGA) approach to solve the multiprocessor scheduling problem.The algorithm consists in adding a fuzzy logic controller to control and tunedynamically different parameters (probabilities of crossover and mutation), in anattempt to improve the algorithm performance. For this purpose, we will design afuzzy logic controller based on fuzzy rules to control the probabilities of crossoverand mutation. Compared with the Standard Genetic Algorithm (SGA), the resultsclearly demonstrate that the FLGA method performs significantly better.

A fuzzy logic controller for intestinal levodopa infusion in Parkinson’s disease

The aim of this work is to evaluate the fuzzy system for different types of patients for levodopa infusion in Parkinson Disease based on simulation experiments using the pharmacokinetic-pharmacodynamic model. Fuzzy system is to control patient’s condition by adjusting the value of flow rate, and it must be effective on three types of patients, there are three different types of patients, including sensitive, typical and tolerant patient; the sensitive patients are very sensitive to drug dosage, but the tolerant patients are resistant to drug dose, so it is important for controller to deal with dose increment and decrement to adapt different types of patients, such as sensitive and tolerant patients. Using the fuzzy system, three different types of patients can get useful control for simulating medication treatment, and controller will get good effect for patients, when the initial flow rate of infusion is in the small range of the approximate optimal value for the current patient’ type.