Tracking Economic Growth by Evolving Expectations Via Genetic Programming: A Two-Step Approach
نویسندگان
چکیده
منابع مشابه
“Tracking economic growth by evolving expectations via genetic programming: A two-step approach”
The main objective of this study is to present a two-step approach to generate estimates of economic growth based on agents’ expectations from tendency surveys. First, we design a genetic programming experiment to derive mathematical functional forms that approximate the target variable by combining survey data on expectations about different economic variables. We use evolutionary algorithms t...
متن کاملA Genetic Programming Hyper-Heuristic Approach for Evolving
We present a genetic programming hyper-heuristic system to evolve a ‘disposable’ heuristic for each of a wide range of benchmark instances of the two-dimensional strip packing problem. The evolved heuristics are constructive, and decide both which piece to pack next and where to place that piece, given the current partial solution. Usually, there is a trade-off between the generality of a packi...
متن کاملA Genetic Programming Hyper-Heuristic Approach for Evolving Two Dimensional Strip Packing Heuristics
We present a genetic programming system to evolve reusable heuristics for the two dimensional strip packing problem. The evolved heuristics are constructive, and decide both which piece to pack next and where to place that piece, given the current partial solution. This work contributes to a growing research area which represents a paradigm shift in search methodologies. Instead of using evolut...
متن کاملSimulating economic transition processes by genetic programming
Recently, genetic programming has been proposed to model agents’ adaptive behavior in a complex transition process where uncertainty cannot be formalized within the usual probabilistic framework. However, this approach has not been widely accepted by economists. One of the main reasons is the lack of the theoretical foundation of using genetic programming to model transition dynamics. Therefore...
متن کاملEvolving a Sort: Lessons in Genetic Programming
In applying the Genetic Programming paradigm to the task of evolving iterative sorting algorithms, a variety of interesting lessons were learned. With proper selection of the primitives, sorting algorithms were evolved that are both general and non-trivial. The sorting problem was then used as a testbed to evaluate the value of several alternative parameters, with some small gains shown. The va...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: SSRN Electronic Journal
سال: 2018
ISSN: 1556-5068
DOI: 10.2139/ssrn.3113244