Order-theoretic Analysis of Coevolution Problems: Coevolutionary Statics

نویسندگان

  • Anthony Bucci
  • Jordan B. Pollack
چکیده

We present an order-theoretic framework for analyzing coevolution problems. The framework focuses attention on the underlying problem definition, or statics of coevolution, as opposed to the dynamics of search algorithms. We define a notion of solution for coevolution which generalizes similar solution concepts in GA function optimization and MOO. We then define the ideal test set, a potentially small set of tests which allow us to find the solution set of a problem. One feature of the ideal test set is that we are able to categorize problems by considering its cardinality. We conclude by discussing three issues which commonly arise in coevolution from the point of view of coevolutionary statics, pointing out analytical attacks on these issues.

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

Modeling Variation in Cooperative Coevolution Using Evolutionary Game Theory

Though coevolutionary algorithms are currently used for optimization purposes, practitioners are often plagued with difficulties due to the fact that such systems frequently behave in counter intuitive ways that are not well understood. This paper seeks to extend work which uses evolutionary game theory (EGT) as a form of dynamical systems modeling of coevolutionary algorithms in order to begin...

متن کامل

Analyzing Cooperative Coevolution with Evolutionary Game Theory

The task of understanding coevolutionary algorithms is a very difficult one. These algorithms search landscapes which are in some sense adaptive. As a result, the dynamical behaviors of coevolutionary systems can frequently be even more complex than traditional evolutionary algorithms (EAs). Moreover, traditional EA theory tells us little about coevolutionary algorithms. One major question that...

متن کامل

A Blended Population Approach to Cooperative Coevolution for Decomposition of Complex Problems

Cooperative coevolutionary architectures provide a framework for solving complex problems by decomposing them into constituent subproblems, solving the subproblems, and then reintegrating the solutions. This paper presents a blended cooperative coevolution model which offers advantages over traditional evolutionary algorithms and currently used cooperative coevolutionary architectures.

متن کامل

A New Framework for Analysis of Coevolutionary Systems - Directed Graph Representation and Random Walks.

Studying coevolutionary systems in the context of simplified models (i.e. games with pairwise interactions between coevolving solutions modelled as self plays) re-mains an open challenge since the rich underlying structures associated with pairwise-comparison-based fitness measures are often not taken fully into account. Although cyclic dynamics have been demonstrated in several contexts (such ...

متن کامل

A Mathematical Framework for the Study of Coevolution

Despite achieving compelling results in engineering and optimization problems, coevolutionary algorithms remain difficult to understand, with most knowledge to date coming from practical successes and failures, not from theoretical understanding. Thus, explaining why coevolution succeeds is still more art than science. In this paper, we present a theoretical framework for studying coevolution b...

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 2002