Contributions to the development of the CRO-SL algorithm: Engineering applications problems
Carlos Camacho-G\'omez

TL;DR
This thesis advances the CRO-SL evolutionary algorithm for engineering optimization problems, demonstrating its effectiveness in diverse applications like micro-grid energy management, vibration control, and antenna design.
Contribution
It introduces novel applications and improvements of the CRO-SL algorithm specifically tailored for complex engineering problems.
Findings
Successful optimization of micro-grid battery scheduling with variable prices
Effective vibration cancellation using tuned mass dampers
Optimized RFID antenna design with enhanced bandwidth and radiation pattern
Abstract
This Ph.D. thesis discusses advanced design issues of the evolutionary-based algorithm \textit{"Coral Reef Optimization"}, in its Substrate-Layer (CRO-SL) version, for optimization problems in Engineering Applications. The problems that can be tackled with meta-heuristic approaches is very wide and varied, and it is not exclusive of engineering. However we focus the Thesis on it area, one of the most prominent in our time. One of the proposed application is battery scheduling problem in Micro-Grids (MGs). Specifically, we consider an MG that includes renewable distributed generation and different loads, defined by its power profiles, and is equipped with an energy storage device (battery) to address its programming (duration of loading / discharging and occurrence) in a real scenario with variable electricity prices. Also, we discuss a problem of vibration cancellation over structures…
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Taxonomy
TopicsVibration and Dynamic Analysis
