The Mutate and Spread Metaheuristic
Nicolas Abboud and Masatoshi Sakawa
Department of Industrial and Systems Engineering, Faculty of Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima-shi, Hiroshima 739-8527, Japan
Evolutionary and adaptive search is not limited to parameter optimization. More exciting, wide-ranging possibilities arise in the search for structures, operators, and algorithms. In this paper, we present a metaheuristic that maintains a diversified population in which only the building blocks of a good solution are permitted to spread.
This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.