Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
The Stud GA: A Mini Revolution?
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory
Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory
Multiparent recombination in evolutionary computing
Advances in evolutionary computing
A markov chain framework for the simple genetic algorithm
Evolutionary Computation
Performance optimization of gas turbine engine
Engineering Applications of Artificial Intelligence
Population distributions in biogeography-based optimization algorithms with elitism
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Analytical and numerical comparisons of biogeography-based optimization and genetic algorithms
Information Sciences: an International Journal
Evolutionary computation: comments on the history and current state
IEEE Transactions on Evolutionary Computation
Evolutionary programming made faster
IEEE Transactions on Evolutionary Computation
A Multiobjective Optimization-Based Evolutionary Algorithm for Constrained Optimization
IEEE Transactions on Evolutionary Computation
Biogeography-Based Optimization
IEEE Transactions on Evolutionary Computation
Population distributions in biogeography-based optimization algorithms with elitism
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Oppositional biogeography-based optimization
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Analytical and numerical comparisons of biogeography-based optimization and genetic algorithms
Information Sciences: an International Journal
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
A dynamic system model of biogeography-based optimization
Applied Soft Computing
Multi-operator based biogeography based optimization with mutation for global numerical optimization
Computers & Mathematics with Applications
Research of Biogeography-Based Multi-Objective Evolutionary Algorithm
Journal of Information Technology Research
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Biogeography-based optimization (BBO) is a population-based evolutionary algorithm (EA) that is based on the mathematics of biogeography. Biogeography is the study of the geographical distribution of biological organisms. We present a simplified version of BBO and perform an approximate analysis of the BBO population using probability theory. Our analysis provides approximate values for the expected number of generations before the population's best solution improves, and the expected amount of improvement. These expected values are functions of the population size. We quantify three behaviors as the population size increases: first, we see that the best solution in the initial randomly generated population improves; second, we see that the expected number of generations before improvement increases; and third, we see that the expected amount of improvement decreases.