Abstract
In this article we present a general review of nature-inspired metaheuristic algorithms with implementations in patch antenna designs. The primary focus is on Genetic Algorithm (GA), Differential Evolution (DE), Particle Swarm Optimization (PSO), Bacterial Foraging Optimization (BFO). New algorithms recently been introduced also are analyzed, such as: Firefly algorithm (FA), Cuckoo Search (CS), Bat algorithm (BA), Social Spider Optimization (SSO) and Spider Monkey Optimization (SMO). Of each algorithm, a summary of significant examples and a flowchart for a quick and easy interpretation are presented. Finally, the common characteristics of algorithms are compared, concluding in a hierarchical classification according to the efficiency of each one to solve the patch antenna problems.
Original language | English (US) |
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DOIs | |
State | Published - 20 Feb 2019 |
Event | 2018 IEEE Biennial Congress of Argentina, ARGENCON 2018 - San Miguel de Tucuman, Argentina Duration: 6 Jun 2018 → 8 Jun 2018 |
Conference
Conference | 2018 IEEE Biennial Congress of Argentina, ARGENCON 2018 |
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Abbreviated title | ARGENCON 2018 |
Country/Territory | Argentina |
City | San Miguel de Tucuman |
Period | 6/06/18 → 8/06/18 |
Keywords
- Algorithm
- Metaheurístic
- Nature-Inspired
- Optimization
- Patch Antenna