OCR Text |
Show In the present context, a popUlation of individuals is comprised of twelve discrete points in EA and S' search space, either randomly or uniformly distributed, initially. An individual's fitness is that individual's scaled performance index value. Individuals are represented as chromosomes, undergoing crossover and mutation, by coding each point as a ten bit unsigned integer string (ten ones or zeros). The next step involves application of both search techniques to a single burner geometry, incorporating a step change in load into the experiment, so that the control system's response to such a change may be evaluated. A second burner geometry was used in this study due to the observation of a more pronounced change in the location of the peak region following a change in load. The geometry of the second burner differs from previous work only in the fuel nozzle; the second nozzle injects fuel against the flow of the swirling air (and is referred to as the counter-swirl nozzle). A change in load is incorporated into the control trials simply by starting at one load and allowing the system to reach an optimum at that load, then returning the operation of the burner to it's initial operating point, initiating a change in load, and allowing the controller to relocate the new region of optimum performance. 7 |