Alessio Gaspar

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This paper explores Time Dependent Optimization (Tdo) as a measure of adaptiveness in artificial systems. We first discuss this choice and review classical Tdo models to propose a canonic benchmark. Then, we underline the central role of diversity in adaptive dynamics for biological and cybernetic systems and illustrate by a state of the art of evolutionary(More)
Authentic learning in an undergraduate networking course is best achieved when students have privileged access to their workstations and the ability to set up networks of arbitrary size and complexity. With such privileges come great risks for hosting networks. While the initial response to these challenges was to digitally isolate dedicated laboratories,(More)
Received (received date) Revised (revised date) Many real-world problems involve measures of objectives that may be dynamically optimized. The application of evolutionary algorithms in time dependant optimization is currently receiving growing interest as potential applications are numerous ranging from mobile robotics to real time process command.(More)
This descriptive study discusses two conceptual difficulties encountered by students in introductory programming courses regardless of the chosen language or pedagogical approach (e.g. objects, classes or fundamentals first). Firstly, students tend to learn programming by memorizing correct code examples instead of acquiring the programming thought process.(More)
This paper explores the relationship between new constructivist apprenticeship techniques meant to improve programming pedagogy [6][7] and student self-direction. To this end, we used the lens of the Personal Responsibility Orientation [2] to measure the impact on student self-efficacy and self direction of our interventions. These learning activities were(More)
This paper revisits past works on fitness distance correlation (FDC) in relation to genetic algorithms (GA) performance, and puts forth evidence that this statistical measure is relevant to predict the performance of a GA. We propose an interpretation of Hamming-distance based FDC, which takes into account the GA dynamics and the effects of crossover(More)
This paper discusses the need for learning activities adhering to the constructive alignment theory in introductions to programming. Problems with widespread instruction methods are used to motivate a new variant of pair programming which reduces the possibilities for students to “evade” practicing the very skills pair programming is expected to allow them(More)
At our institution, online delivery was initially seen as a way to extend the geographic reach of a specialized upper-division degree program, the Bachelor of Science in Applied Sciences (BSAS), targeting holders of community college Associates in Science (AS) degrees, with the hoped-for impact of increasing enrollment. This program shared many required(More)
for Time Dependant Optimization Philippe Collard Cathy Escazut Alessio Gaspar University of Nice-Sophia Antipolis, Laboratory I3S | CNRS 250 Av. A. Einstein, Sophia Antipolis, 06560 Valbonne FRANCE email: fpc,escazutg@unice.fr, gaspar@essi.fr Abstract Many real-world problems involve measures of objectives that may be dynamically optimized. The application(More)