Browsing Faculty of Engineering & Applied Science by Subject "Genetic algorithm"
Now showing items 1-7 of 7
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Design and control of FACTS-based high performance microgrid
(2015-12-01)The current power grid introduces many limitations and challenges in a world that is heavily dependent on electricity. Many government agencies, utility companies, researchers and engineers in the electric power industry ... -
Design optimization of active trailer differential braking systems for car-trailer combinations
(2016-01-01)The thesis studies active trailer differential braking (ATDB) systems to improve the lateral stability of car-trailer (CT) combinations. CT combinations exhibit unique unstable motion modes, including jack-knifing, trailer ... -
Development of a method for genetic optimization of aerodynamic devices
(2021-06-01)Driving stability, fuel efficiency and soiling reduction are important for modern vehicles. This thesis has developed a novel method for genetic optimization of aerodynamic devices for road vehicle applications with the ... -
Enhancing roll stability and directional performance of articulated heavy vehicles based on anti-roll control and design optimization.
(2011-10-01)This research presents an investigation to actively improve the rollover stability of articulated heavy vehicles (AHVs) during high speed manoeuvres using anti-roll control systems. A 3-dimensional (3-D) linear yaw/roll ... -
Machining of additively manufactured titanium Ti-6Al-4V; cutting forces and chip morphology
(2023-04-01)This thesis studies the machining of additively manufactured (AM) titanium Ti-6Al-4V and presents a model to determine Johnson Cook (J-C) constitutive parameters from complex machining processes through numerical modeling ... -
Optimal planning and operation of CHP within micro energy grids
(2016-04-01)In this study, an optimal planning with respect to capacity sizes and types of prime movers for CHP systems within micro energy grids has been discussed. The objective is to minimize the total net present cost, carbon ... -
Optimal temperature range identification for a hydrogen production cycle using genetic algorithm-based Monte Carlo simulation method
(2016-08-01)Nuclear-based hydrogen generation is accumulating more and more interest, both from academia and industry. In nuclear hydrogen production system based on 4-step Cu-Cl cycle, proper temperature inputs play an essential role ...