Human-competitive Applications of Genetic Programming

نویسنده

  • John R. Koza
چکیده

Genetic programming is an automatic technique for producing a computer program that solves, or approximately solves, a problem. This chapter reviews several recent examples of human-competitive results produced by genetic programming. The examples all involve the automatic synthesis of a complex structure from a high-level statement of the requirements for the structure. The illustrative results include examples of automatic synthesis of both the topology and sizing (component values) for analog electrical circuits, automatic synthesis of placement and routing (as well as topology and sizing) for circuits, and automatic synthesis of both the topology and tuning (parameter values) of controllers.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Using Imperialist competitive algorithm optimization in multi-response nonlinear programming

The quality of manufactured products is characterized by many controllable quality factors. These factors should be optimized to reach high quality products. In this paper we try to find the controllable factors levels with minimum deviation from the target and with a least variation. To solve the problem a simple aggregation function is used to aggregate the multiple responses functions then a...

متن کامل

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 کامل

The project portfolio selection and scheduling problem: mathematical model and algorithms

This paper investigates the problem of selecting and scheduling a set of projects among available projects. Each project consists of several tasks and to perform each one some resource is required. The objective is to maximize total benefit. The paper constructs a mathematical formulation in form of mixed integer linear programming model. Three effective metaheuristics in form of the imperialis...

متن کامل

Goal Programming Approach to the Bi-Objective Competitive Flow-Capturing Location-Allocation Problem

  Majority of models in location literature are based on assumptions such as point demand, absence of competitors, as well as monopoly in location, products, and services. However in real-world applications, these assumptions are not well-matched with reality. In this study, a new mixed integer nonlinear programming model based on weighted goal programming approach is proposed to maximize the c...

متن کامل

A stochastic model for project selection and scheduling problem

Resource limitation in zero time may cause to some profitable projects not to be selected in project selection problem, thus simultaneous project portfolio selection and scheduling problem has received significant attention. In this study, budget, investment costs and earnings are considered to be stochastic. The objectives are maximizing net present values of selected projects and minimizing v...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2003