— In this paper, a multi-agent based evolutionary algorithm (MAEA) is introduced to solve dynamic optimization problems. The agents simulate living organism features and co-evolv...
Yang Yan, Hongfeng Wang, Dingwei Wang, Shengxiang ...
— Adaptive Information Filtering seeks a solution to the problem of information overload through a tailored representation of the user’s interests, called user profile, which ...
This article presents a new system for automatically constructing and training radial basis function networks based on original evolutionary computing methods. This system, called...
This paper presents a new type of genetic algorithm for the set covering problem. It differs from previous evolutionary approaches first because it is an indirect algorithm, i.e. ...
Although evolutionary algorithms (EAs) are widely used in practical optimization, their theoretical analysis is still in its infancy. Up to now results on the (expected) runtime ar...