Elitism has been an issue in Canadian French immersion since its inception. This study examines how two racially diverse Ontarian school boards and Ontario policy, curricula, other related documents construct support elite student within the program. The who emerged from is a White, middle-class, English, established resident, mirroring current demographics of A middle-class bias due to assumed...

In this paper a Multiobjective Optimization Genetic Algorithm, named Reduced Pareto Set Genetic Algorithm with Elitism (RPSGAe), is presented and its performance assessed. The algorithm is compared with other MOEA ́s using three difficult problems from the literature and a sophisticated statistical comparison technique. The preliminary results obtained showed that the RPSGAe outperform the other...

One hope when using non-elitism in evolutionary computation is that the ability to abandon current-best solution aids leaving local optima. To improve our understanding of this mechanism, we perform a rigorous runtime analysis basic non-elitist algorithm (EA), $$(\mu ,\lambda )$$ EA, on most benchmark function with optimum, jump function. We prove for all reasonable values parameters and proble...

While previous studies have framed the construction of elite identities in context prestigious organizations as unambiguous, this paper investigates across different contexts potentially contested and tension-ridden, due to both positive negative societal connotations with elitism. Based on 36 interviews ex-consultants, indicates how people engage an discourse multiple ways when reporting upon ...

This paper examines the road train concept as a new alternative in long-distance freight traffic. The design of such a system is a difficult task since many different and conflicting criteria arise depending on the application spectrum, the legal conditions and the preferences of the carrier. Furthermore the evaluation of each decision alternative relies on a time consuming and sophisticated si...

Power quality monitors handle and store several gigabytes of data within a week and hence automatic detection, recognition and analysis of power disturbances require robust data mining techniques. Literature reveals that much work has been done to evolve several feature extraction and subsequent classification techniques for accurate power disturbance pattern recognition .However the features e...