48 citations · 114 across the 17 of their papers we have counts for
3 papers · 1 filter
Decomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution Algorithms
Kumara Sastry, Martin Pelikan, David E. Goldberg
The paper analyzes the scalability of multiobjective estimation of distribution algorithms (MOEDAs) on a class of boundedly-difficult additively-separable multiobjective optimizati…
Multiobjective hBOA, Clustering, and Scalability
Martin Pelikan, Kumara Sastry, David E. Goldberg
This paper describes a scalable algorithm for solving multiobjective decomposable problems by combining the hierarchical Bayesian optimization algorithm (hBOA) with the nondominate…
Scalability of Genetic Programming and Probabilistic Incremental Program Evolution
Radovan Ondas, Martin Pelikan, Kumara Sastry
This paper discusses scalability of standard genetic programming (GP) and the probabilistic incremental program evolution (PIPE). To investigate the need for both effective mixing…