Multiobjective Optimization of Nonlinear Circuits
نویسنده
چکیده
This paper suggests an enhancement of an existing method for the multiobjective optimization known as GAM (goal attainment method). In our proposal, the GAM algorithm is combined with a mechanism that automatically provides a set of parameters (weights, coordinates of the reference point) for which the method generates noninferior solutions uniformly spread over a suitably selected part of the Pareto front. The resulting set of solutions is then presented in a suitable graphic form so that the solution representing the most satisfactory tradeoff can be easily chosen. The whole algorithm was implemented as a program and tested on various design examples. The most difficult one was a multiobjective optimization of a C-class power amplifier in the time domain. Therefore, this task is thoroughly described in the paper as a demonstration of the program capability.
منابع مشابه
Multiobjective Imperialist Competitive Evolutionary Algorithm for Solving Nonlinear Constrained Programming Problems
Nonlinear constrained programing problem (NCPP) has been arisen in diverse range of sciences such as portfolio, economic management etc.. In this paper, a multiobjective imperialist competitive evolutionary algorithm for solving NCPP is proposed. Firstly, we transform the NCPP into a biobjective optimization problem. Secondly, in order to improve the diversity of evolution country swarm, and he...
متن کاملA nonlinear multi objective model for the product portfolio optimization: An integer programming
Optimization of the product portfolio has been recognized as a critical problem in industry, management, economy and so on. It aims at the selection of an optimal mix of the products to offer in the target market. As a probability function, reliability is an essential objective of the problem which linear models often fail to evaluate it. Here, we develop a multiobjective integer nonlinear cons...
متن کاملMultiobjective Optimization for Electronic Circuit Design in Time and Frequency Domains
The multiobjective optimization provides an extraordinary opportunity for the finest design of electronic circuits because it allows to mathematically balance contradictory requirements together with possible constraints. In this paper, an original and substantial improvement of an existing method for the multiobjective optimization known as GAM (Goal Attainment Method) is suggested. In our pro...
متن کاملMultiobjective Placement Optimization for High-performance Nanoscale Integrated Circuits
Multiobjective Placement Optimization for High-performance Nanoscale Integrated Circuits
متن کاملMultiobjective cuckoo search for design optimization
Many design problems in engineering are typically multiobjective, under complex nonlinear constraints. The algorithms needed to solve multiobjective problems can be significantly different from the methods for single objective optimization. Computing effort and the number of function evaluations may often increase significantly for multiobjective problems. Metaheuristic algorithms start to show...
متن کاملEfficient Combinational Circuits Design through Fuzzified Ant Colony Optimization Algorithm
With the increasing demand for high quality, more efficient and less area circuits, the problem of logic circuit design has become a multiobjective optimization problem. In this paper, a multiobjective optimization of logic circuits based on a fuzzified Ant Colony (ACO) algorithm is presented. The results obtained using the proposed algorithm are compared to those obtained using SIS in terms of...
متن کامل