Parameter optimization of an on-chip voltage reference circuit using evolutionary programming

Circuit Optimization Using a Generalized Modification of the Genetic Algorithm

“…It is also important to note the necessary changes in the optimization procedure (1). When using the deterministic approach, the optimization procedure is specified by differential (8) or difference (9) equations:…”

“…where f i (X ,U ) or H are determined by a specific optimization method (gradient, Newton etc.). A change in the components of the control vector U from 0 to 1 corresponds to a transformation of the corresponding dependent component of the vector X into an independent one, leading to a change in the number of independent variables and the number of equations both in the optimization procedure (8) or ( 9) and in the system of constraints (5). The control vector U defines strategies of the structural basis of generalized optimization.…”

“…Some alternative stochastic search algorithms, especially evolutionary computation algorithms, can solve the problem of finding the global minimum and have been developed in recent years. An analysis of various stochastic algorithms for system optimization allowed select some groups: simulated annealing method [5][6][7], evolutionary computing techniques that produce some different approaches as evolutionary algorithms [8][9][10][11] particle swarm optimization (PSO) method, GA, differential evolution, genetic programming. A PSO technique [12][13][14][15] is one of the evolutionary algorithms that competes with genetic algorithms.…”