منابع مشابه
The Cooperative Coevolutionary (1+1) EA
Coevolutionary algorithms are variants of traditional evolutionary algorithms and are often considered more suitable for certain kinds of complex tasks than noncoevolutionary methods. One example is a general cooperative coevolutionary framework for function optimization. This paper presents a thorough and rigorous introductory analysis of the optimization potential of cooperative coevolution. ...
متن کاملExploring the Explorative Advantage of the Cooperative Coevolutionary (1+1) EA
Using a well-known cooperative coevolutionary function optimization framework, a very simple cooperative coevolutionary (1+1) EA is defined. This algorithm is investigated in the context of expected optimization time. The focus is on the impact the cooperative coevolutionary approach has and on the possible advantage it may have over more traditional evolutionary approaches. Therefore, a system...
متن کاملCooperative Coevolutionary Fuzzy Systems
Genetic algorithms have proved to be a suit choice for fuzzy modeling, however, with the number of dimensions increase, genetic algorithm tends to be inefficient. In this paper, we present a combination of cooperative coevolutionary genetic algorithm (CCGA) with fuzzy system. The flexible coding scheme permits one chromosome correspond a rule. For a high dimensional system, all rules can be coe...
متن کاملCooperative Coevolutionary Ensemble Learning
A new optimization technique is proposed for classifiers fusion — Cooperative Coevolutionary Ensemble Learning (CCEL). It is based on a specific multipopulational evolutionary algorithm — cooperative coevolution. It can be used as a wrapper over any kind of weak algorithms, learning procedures and fusion functions, for both classification and regression tasks. Experiments on the real-world prob...
متن کاملCooperative Coevolutionary Algorithms for Large Scale Optimisation
Many optimisation problems have been successfully solved using Evolutionary Algorithms, but few have been reported to effectively solve problems with many input parameters. There is even less success when these algorithms are applied to high dimensional problems with parameter interaction. The aim of this paper is to use cooperative coevolution to tackle problems with high dimensionality up to ...
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ژورنال
عنوان ژورنال: Evolutionary Computation
سال: 2004
ISSN: 1063-6560,1530-9304
DOI: 10.1162/1063656043138905