113 citations · 131 across the 2 of their papers we have counts for
7 papers · 1 filter
Forced Evolution in Silico by Artificial Transposons and their Genetic Operators: The John Muir Ant Problem
Alexander V. Spirov, Alexander B. Kazansky, Leonid Zamdborg +2
Modern evolutionary computation utilizes heuristic optimizations based upon concepts borrowed from the Darwinian theory of natural selection. We believe that a vital direction in t…
Comparing Single and Multiobjective Evolutionary Approaches to the Inventory and Transportation Problem
Anna I Esparcia-Alcázar, J. J. Merelo, Anaís Martínez-García +3
EVITA, standing for Evolutionary Inventory and Transportation Algorithm, is a two-level methodology designed to address the Inventory and Transportation Problem (ITP) in retail cha…
MultiKulti Algorithm: Migrating the Most Different Genotypes in an Island Model
Lourdes Araujo, Juan J. Merelo Guervos, Carlos Cotta +1
Migration policies in distributed evolutionary algorithms has not been an active research area until recently. However, in the same way as operators have an impact on performance,…
KohonAnts: A Self-Organizing Ant Algorithm for Clustering and Pattern Classification
C. Fernandes, A. M. Mora, J. J. Merelo +2
In this paper we introduce a new ant-based method that takes advantage of the cooperative self-organization of Ant Colony Systems to create a naturally inspired clustering and patt…
Improved evolutionary generation of XSLT stylesheets
Pablo Garcia-Sanchez, J. L. J. Laredo, J. P. Sevilla +2
This paper introduces a procedure based on genetic programming to evolve XSLT programs (usually called stylesheets or logicsheets). XSLT is a general purpose, document-oriented fun…
Evolving XSLT stylesheets
Nestor Zorzano, Daniel Merino, J. L. J. Laredo +3
This paper introduces a procedure based on genetic programming to evolve XSLT programs (usually called stylesheets or logicsheets). XSLT is a general purpose, document-oriented fun…