An Adaptive Michigan Approach PSO for Nearest Prototype Classification

Alejandro Cervantes, Inés María Galván, Pedro Isasi. An Adaptive Michigan Approach PSO for Nearest Prototype Classification. In José Mira, José R. Álvarez, editors, Nature Inspired Problem-Solving Methods in Knowledge Engineering, Second International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2007, La Manga del Mar Menor, Spain, June 18-21, 2007, Proceedings, Part II. Volume 4528 of Lecture Notes in Computer Science, pages 287-296, Springer, 2007. [doi]

Abstract

Abstract is missing.