Objective Fitness Correlation Evaluating coevolutionary evaluation
نویسنده
چکیده
This paper introduces the Objective Fitness Correlation, a new tool to analyze the evaluation accuracy of coevolutionary algorithms. Accurate evaluation is an essential ingredient in creating adequate coevolutionary dynamics. Based on the notion of a solution concept, a new definition for objective fitness in coevolution is provided. The correlation between the objective fitness and the subjective fitness used in a coevolutionary algorithm yields the Objective Fitness Correlation. The OFC measure is applied to three coevolutionary evaluation methods. It is found that the Objective Fitness Correlation varies substantially over time. Moreover, a high OFC is found to correspond to periods where the algorithm is able to increase the objective quality of individuals. This is evidence of the utility of OFC as a measure to evaluate and compare coevolutionary evaluation mechanisms. The Objective Fitness Correlation (OFC) provides a precise analytical tool to measure the accuracy of evaluation in coevolutionary algorithms.
منابع مشابه
A Comparison of Dynamic Fitness Schedules for Evolutionary Design of Amplifiers
High-level analog circuit design is a complex problem domain in which evolutionary search has recently produced encouraging results. However, little is known about how to best structure evolution for these tasks. The choices of circuit representation, fitness evaluation technique, and genetic operators clearly have a profound effect on the search process. In this paper, we examine fitness evalu...
متن کاملCoevolutionary Intransitivity in Games: A Landscape Analysis
Intransitivity is supposed to be a main reason for deficits in coevolutionary progress and inheritable superiority. Besides, coevolutionary dynamics is characterized by interactions yielding subjective fitness, but aiming at solutions that are superior with respect to an objective measurement. Such an approximation of objective fitness may be, for instance, generalization performance. In the pa...
متن کاملShaping fitness functions for coevolving cooperative multiagent systems
Coevolution is a natural approach to evolve teams of agents which must cooperate to achieve some system objective. However, in many coevolutionary approaches, credit assignment is often subjective and context dependent, as the fitness of an individual agent strongly depends on the actions of the agents with which it collaborates. In order to alleviate this problem, we introduce a cooperative co...
متن کاملWhen Coevolutionary Algorithms Exhibit Evolutionary Dynamics
The task of understanding the dynamics of coevolutionary algorithms or comparing performance between such algorithms is complicated by the fact the internal fitness measures are subjective. Though a variety of techniques have been proposed to use external or objective measures to help in analysis, there are clearly properties of fitness payoff (e.g., intransitivity) which call such methods into...
متن کاملGuaranteeing Coevolutionary Objective Measures
The task of understanding the dynamics of coevolutionary algorithms or comparing performance between such algorithms is complicated by the fact the internal fitness measures are subjective. Though several techniques have been proposed to use external or objective measures to help in analysis, there are clearly properties of fitness payoff, like intransitivity, for which these techniques are ine...
متن کاملذخیره 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 2007