Authors: Richard A. Formato
Source:FERMAT, Volume 19, Article 9, January-February, 2017
Abstract: Design and optimization (D&O) problems in applied electromagnetics, in particular antenna D&O, often rely on global search and optimization metaheuristics based on Nature-inspired metaphors. Most are stochastic in nature because the underlying process is, for example the swarming behavior of fish and birds (Particle Swarm Optimization) or the foraging behavior of ants (Ant Colony Optimization). While these algorithms generally work well (enough), their inherent randomness frequently limits utility in solving real-world antenna problems. A better approach is to use an inherently deterministic optimizer or to implement a stochastic algorithm so that it is effectively deterministic. This article discusses in detail Central Force Optimization (CFO) which is a deterministic algorithm analogizing gravitational kinematics.
Index Terms: Central Force Optimization, CFO, π fractions, Pseudo randomness, Global Search and Optimization, Metaheuristic, Antenna Design, Antenna Optimization, Algorithm.
View PDFDeterminism in Electromagnetic Design & Optimization - Part I: Central Force Optimization