48 citations · 132 across the 11 of their papers we have counts for
11 papers
iBOA: The Incremental Bayesian Optimization Algorithm
Martin Pelikan, Kumara Sastry, David E. Goldberg
This paper proposes the incremental Bayesian optimization algorithm (iBOA), which modifies standard BOA by removing the population of solutions and using incremental updates of the…
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…
Sub-structural Niching in Estimation of Distribution Algorithms
K. Sastry, H. A. Abbass, D. E. Goldberg +1
We propose a sub-structural niching method that fully exploits the problem decomposition capability of linkage-learning methods such as the estimation of distribution algorithms an…
Oiling the Wheels of Change: The Role of Adaptive Automatic Problem Decomposition in Non--Stationary Environments
H. A. Abbass, K. Sastry, D. E. Goldberg
Genetic algorithms (GAs) that solve hard problems quickly, reliably and accurately are called competent GAs. When the fitness landscape of a problem changes overtime, the problem i…
Population Sizing for Genetic Programming Based Upon Decision Making
K. Sastry, U. -M. O'Reilly, D. E. Goldberg
This paper derives a population sizing relationship for genetic programming (GP). Following the population-sizing derivation for genetic algorithms in Goldberg, Deb, and Clark (199…