This paper describes and analyzes the aggregation pheromone system (APS) algorithm, which extends ant colony optimization (ACO) to continuous domains. APS uses the collective behav...
In this paper we propose a meta-evolutionary approach to improve on the performance of individual classifiers. In the proposed system, individual classifiers evolve, competing to ...
—Despite the range of applications and successes of evolutionary algorithms, expensive fitness computations often form a critical performance bottleneck. A preferred method of r...
This paper introduces an improved evolutionary algorithm based on the Imperialist Competitive Algorithm (ICA), called Quad Countries Algorithm (QCA). The Imperialist Competitive Al...
M. A. Soltani-Sarvestani, Shahriar Lotfi, Fatemeh ...
Through the automation of empirical evaluation we hope to alleviate evaluation problems encountered by software designers who are relatively new to the process. Barriers to good e...
Laurian Hobby, John Booker, D. Scott McCrickard, C...