Genetic algorithms with sharing for multimodal function optimization
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Random number generation and quasi-Monte Carlo methods
Random number generation and quasi-Monte Carlo methods
Niching methods for genetic algorithms
Niching methods for genetic algorithms
Recent progress in unconstrained nonlinear optimization without derivatives
Mathematical Programming: Series A and B - Special issue: papers from ismp97, the 16th international symposium on mathematical programming, Lausanne EPFL
`` Direct Search'' Solution of Numerical and Statistical Problems
Journal of the ACM (JACM)
The theory of evolution strategies
The theory of evolution strategies
A species conserving genetic algorithm for multimodal function optimization
Evolutionary Computation
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
Genetic algorithms using low-discrepancy sequences
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Comparison of multi-modal optimization algorithms based on evolutionary algorithms
Proceedings of the 8th annual conference on Genetic and evolutionary computation
DCMA: yet another derandomization in covariance-matrix-adaptation
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
A hybrid meta-heuristic for global optimisation using low-discrepancy sequences of points
Computers and Operations Research
Good permutations for deterministic scrambled Halton sequences in terms of L2-discrepancy
Journal of Computational and Applied Mathematics
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We compare various approaches for multimodal optimization; we focus on comparing restart and more sophisticated approaches, and on the use of quasi-random numbers.